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5/1

Senior Data Management Professional - Data Product Owner - Listed Derivatives Data

London, United Kingdom Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit for the purposes of our clients' use cases. We apply analytics and modern data management techniques to identify innovative workflows and technology solutions to improve the management of our data.

Our Team:

Our Listed Derivatives data team provides our clients with complete and accurate, normalized security listings and reference data for 25+ million active and 700+ million historical securities across more than 100 derivatives exchanges globally. We develop automated data pipelines for the ingestion and publication of derivatives data, enhance our coverage and accuracy, and explore opportunities to expand our data product offering. With trading volumes rising continuously and contract structures growing in complexity, we rely on data management expertise, multi-functional collaboration, deep domain knowledge, and thoughtful automation to continuously deliver high quality data to our growing client base.

What's the Role?

As the Data Product Owner, you'll help us improve and grow our offering of Listed Derivatives data. Using your deep market knowledge and understanding of our technical platforms, you'll play a key role in designing and implementing strategies to enable efficient discoverability of derivatives products and fields as well as to facilitate seamless interoperability of our data with other *** data sets. You will be a thought leader for quality enhancements in our reference data and work closely with various partners and stakeholders to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a significant impact on our team's success.

We trust you to:

Develop and drive a strategy for *** derivatives data quality across markets and asset classes
Liaise and collaborate with other stakeholders and downstream consumers where there are dependencies on derivatives data
Contribute to the design and execution of data modeling strategies to enable discoverability of derivatives products and fields as well as seamless interoperability across data sets
Contribute to the design and the implementation of strict quality control processes to ensure the most complete, timely, and accurate data offering by applying you market knowledge and understanding of client use cases
Identify and close gaps in existing product offerings and expand to account for emerging client' use cases
Communicate and contribute to the prioritization of business needs that guide the future direction of derivatives data
Train and mentor other team members

You'll need to have:

*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

4+ years of recent work experience in the financial services industry, focusing on the Listed Derivatives markets*
Strong understanding of market players data needs and the strategic landscape within the Listed Derivatives market
Demonstrated experience in data management, for example in improving data accuracy, completeness or timeliness
A proven track record of successful project management skills and ability to prioritize tasks accordingly
Comfort with a high degree of autonomy and shown ability in handling priorities from multiple internal and external partners
Demonstrable ability to take an analytical, data driven approach and apply critical thinking skills in order to tackle problems
Ability to optimally communicate and present concepts and methodologies to diverse audiences

We'd Love to See:

Knowledge of SQL/Python querying language
Experience in semantic structures or data modeling
Experience using data visualization tools such as Tableau, QlikSense or Splunk

Does this sound like you?

Apply! If we believe that you're a good match, we'll get in touch to let you know the next steps.

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonableadjustment/accommodationto qualified individuals with disabilities. Please tell us if you require a reasonableadjustment/accommodationto apply for a job or to perform your job. Examples of reasonableadjustment/accommodationinclude but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please [Please reply using Staff Me Up](Americas),[Please reply using Staff Me Up](Europe, the Middle East and Africa), [Please reply using Staff Me Up](Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 [Please reply using Staff Me Up]

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

5/1

Senior Data Management Professional - Data Product Owner - Listed Derivatives Data

Princeton, NJ Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit for the purposes of our clients' use cases. We apply analytics and modern data management techniques to identify innovative workflows and technology solutions to improve the management of our data.

Our Team:

Our Listed Derivatives Data team provides our clients with complete and accurate, normalized security listings and reference data for 25+ million active and 700+ million historical securities across more than 100 derivatives exchanges globally. We develop automated data pipelines for the ingestion and publication of derivatives data, enhance our coverage and accuracy, and explore opportunities to expand our data product offering. With trading volumes rising continuously and contract structures growing in complexity, we rely on data management expertise, multi-functional collaboration, deep domain knowledge, and thoughtful automation to continuously deliver high quality data to our growing client base.

What's the Role?

As a Data Product Owner, you'll help us improve and grow our offering of Listed Derivatives data. Using your deep market knowledge and understanding of our technical platforms, you'll play a key role in designing and implementing strategies to enable efficient discoverability of derivatives products and fields, as well as to facilitate seamless interoperability of our data with other *** data sets. You will be a thought leader for quality enhancements in our reference data and work closely with various partners and stakeholders to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts, where your interests and passion will have a significant impact on our team's success.

We trust you to:

Develop and drive a strategy for *** Derivatives data quality across markets and asset classes
Liaise and collaborate with other stakeholders and downstream consumers where there are dependencies on derivatives data
Contribute to the design and execution of data modeling strategies to enable discoverability of derivatives products and fields, as well as seamless interoperability across data sets
Contribute to the design and the implementation of strict quality control processes to ensure the most complete, timely, and accurate data offering by applying your market knowledge and understanding of client use cases
Identify and close gaps in existing product offerings and expand to account for emerging client use cases
Communicate and contribute to the prioritization of business needs that guide the future direction of derivatives data
Train and mentor other team members

You'll need to have:

4+ years of recent work experience in the Financial Services industry, focusing on the Listed Derivatives markets
Strong understanding of market players data needs and the strategic landscape within the Listed Derivatives market
Demonstrated experience in data management, for example, in improving data accuracy, completeness, or timeliness
A proven track record of successful project management skills and ability to prioritize tasks accordingly
Comfort with a high degree of autonomy and shown ability in handling priorities from multiple internal and external partners
Demonstrable ability to take an analytical, data driven approach, and apply critical thinking skills in order to tackle problems
Ability to optimally communicate and present concepts and methodologies to diverse audiences

We'd Love to See:

Knowledge of SQL/Python querying language
Experience in semantic structures or data modeling
Experience using data visualization tools such as Tableau, QlikSense, or Splunk
Does this sound like you?

Apply if you think we're a good match! We will be in touch to let you know what the next steps are.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

5/1

Senior Data Management Professional - Data Engineering - Cast & Ddis

New York, NY Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to *** ter manage our data.

Our Team

Our Securities Credit teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, and finding opportunities to expand data sets. Our Capital Structure (CAST) & Debt Distribution (DDIS) Professionals work closely with internal stakeholders including the Engineering, Core Product, News and Enterprise.

We are committed to delivering outstanding quality and improving and growing our CAST & DDIS offerings through a deep understanding of market dynamics alongside our clients' current and future needs.

What's the role?

A Senior Data Management Professional (DMP) is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, designing data architectures, ensuring data quality, and using various techniques, including programming and statistical methods, to extract valuable insights from data. They are expected to be problem solvers, effective communicators, and versatile at balancing technical expertise with a product-focused approach. This role encompasses various specialty areas, including Data Engineering, Data Product Ownership, Data Modeling & Data Quality and requires a strong background in data management.

As a Data Management Professional for CAST & DDIS, you will use your domain expertise to manage and improve the financial data that feeds *** products, identify innovative workflow efficiencies, implement technical solutions to improve our systems, products and processes, and establish links with key players in the financial market.

You will use your market knowledge and experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision.

We'll trust you to:

Understand customer needs and markets to ensure our data sets are fit-for-purpose and to develop data product strategies
Use technical skill to evaluate and apply sound statistical methods, programming and machine learning approaches to promote and measure data quality, generate insights, and extract information
Develop interconnected data models that enable analysis across datasets
Analyze internal processes to find opportunities for improvement; devise and implement innovative solutions across datasets
Partner with Engineering and Product to propose, develop and implement market leading solutions for our clients
Make effective decisions in a fast-paced constantly evolving environment
Balance the best of technical and product knowledge to craft solutions for customers

You'll need to have:

A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
4+ years of programming and scripting in a production environment (Python, Javascript,etc)
Demonstrated experience in employing a systematic approach to problem solving applying technical skills (including programming languages, data modeling and statistical methods)
Project management skills and ability to prioritize and adapt to tasks accordingly
Ability to use sound judgment to escalate issues as they arise
A passion and interest in financial and economic data with the aspiration to work in the financial/fintech services industry
Powerful collaboration skills to work across departments and with global teams
Excellent written and verbal communication skills

We'd like to see:

A Master's degree in STEM related field
Previous work, internship and/or academic experience in data analysis, financial market research and/or information technology
Experience implementing high volume, low-latency ETL pipelines
Demonstrated experience interpreting fixed income documentation, understanding of finance and themes in the market

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

5/1

Senior Data Management Professional - Data Engineering - Cast & Ddis

Princeton, NJ Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to *** ter manage our data.

Our Team

Our Securities Credit teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, and finding opportunities to expand data sets. Our Capital Structure (CAST) & Debt Distribution (DDIS) Professionals work closely with internal stakeholders including the Engineering, Core Product, News and Enterprise.

We are committed to delivering outstanding quality and improving and growing our CAST & DDIS offerings through a deep understanding of market dynamics alongside our clients' current and future needs.

What's the role?

A Senior Data Management Professional (DMP) is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, designing data architectures, ensuring data quality, and using various techniques, including programming and statistical methods, to extract valuable insights from data. They are expected to be problem solvers, effective communicators, and versatile at balancing technical expertise with a product-focused approach. This role encompasses various specialty areas, including Data Engineering, Data Product Ownership, Data Modeling & Data Quality and requires a strong background in data management.

As a Data Management Professional for CAST & DDIS, you will use your domain expertise to manage and improve the financial data that feeds *** products, identify innovative workflow efficiencies, implement technical solutions to improve our systems, products and processes, and establish links with key players in the financial market.

You will use your market knowledge and experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision.

We'll trust you to:

Understand customer needs and markets to ensure our data sets are fit-for-purpose and to develop data product strategies
Use technical skill to evaluate and apply sound statistical methods, programming and machine learning approaches to promote and measure data quality, generate insights, and extract information
Develop interconnected data models that enable analysis across datasets
Analyze internal processes to find opportunities for improvement; devise and implement innovative solutions across datasets
Partner with Engineering and Product to propose, develop and implement market leading solutions for our clients
Make effective decisions in a fast-paced constantly evolving environment
Balance the best of technical and product knowledge to craft solutions for customers

You'll need to have:

A BA/BS degree or higher in Computer Science, Mathematics, or relevant data technology field, or equivalent professional work experience
4+ years of programming and scripting in a production environment (Python, Javascript,etc)
Demonstrated experience in employing a systematic approach to problem solving applying technical skills (including programming languages, data modeling and statistical methods)
Project management skills and ability to prioritize and adapt to tasks accordingly
Ability to use sound judgment to escalate issues as they arise
A passion and interest in financial and economic data with the aspiration to work in the financial/fintech services industry
Powerful collaboration skills to work across departments and with global teams
Excellent written and verbal communication skills

We'd like to see:

A Master's degree in STEM related field
Previous work, internship and/or academic experience in data analysis, financial market research and/or information technology
Experience implementing high volume, low-latency ETL pipelines
Demonstrated experience interpreting fixed income documentation, understanding of finance and themes in the market

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

5/1

Senior Data Management Professional - Data Engineering - Company Financials Bi

New York, NY Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

The Team:

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting an outstanding financial analysis and modeling product while constantly looking to improve and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Business Intelligence team is looking for a Data Engineer who can combine a deep interest in multifaceted, industry-specific data sets with a broad interest in connecting these data sets to drive insights at scale. In this role you will need to demonstrate a deep technical understanding of both data ingestion into and consumption from Business Intelligence software to drive meaningful customer outcomes. You are encouraged to use your skills to help drive the next generation of Company Financials products, combining humans, processes, and technology in novel ways to tackle meaningful problems. You will need to lead and i *** uence team members from various backgrounds; while working closely while working closely with partners across Product Data & Technology, including Product Managers, Engineering and other Company Financials groups to meet the needs of our external and internal clients.

We'll trust you to:

Proactively build strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose
Get to know how data moves through a complex system and identify the best ways to constructively and safely expose it to team members
Gather feedback from internal and external workflow users including clients, vendors and global company financials teams, and synthesize this feedback into a meaningful action plan
Understand the software development lifecycle stages, and identify the right-sized solution for the right phase of a product's development
Leverage technical knowledge of *** 's proprietary or open-source stack to implement high-standard and innovative solutions

You'll need to have:

A Bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field
4+ years of experience in the financial/FinTech services industry, including exchanges, market data providers or financial technology institutions
Experience in using object-oriented programming languages (eg. Python) in development or production environment
Some experience or familiarity with system architecture - tracking the flow of data through a large and heterogeneous system
Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
Deep familiarity with some Business Intelligence software, whether Qlik Sense, Alteryx, Tableau, or something similar, along with a demonstrated ability understand how it performs under various kinds of load and the inherent tradeoffs in processing data at scale
Solid project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
Ability to formulate hypotheses in the face of ambiguity, and to find efficient ways to validate them
Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills

We'd love to see:

Advanced degree in a relevant subject and/or Certified Data Management Professional (CDMP, or working towards it)
Experience in *** Company Financials products, *** Terminal proficiency, and/or enterprise financial data products
Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/26

Team Leader - Commodities Data - Data Management Lab

London, United Kingdom Details

Full Time

*** runs on data. Our products are fuelled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimise the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to *** ter manage our data.

Our Team:

The EMEA Commodities Data team covers the full commodity product spectrum including carbon markets. The team is responsible for acquiring and maintaining the full life cycle of commodities data as well as develop targeted quality improvement and monitoring initiatives to ensure input data is Fit-for-Purpose. Deep domain knowledge, client understanding, and data management expertise are *** for our ability to continuously deliver high quality data to our rapidly growing client base. Our data coverage includes both pricing and fundamentals content across all product classes.

What's the Role?

The EMEA Commodities data team is looking for a highly motivated and driven Commodities Data Team Leader to support our data product strategy and develop the team. You will play a key role in leading individuals with a diverse set of backgrounds ranging from data analysts to data management professionals. You will lead by example in understanding the commodity market dynamics and data management practices. Using your experience, market expertise and client understanding, you will help the team in identifying opportunities to expand coverage, ensure quality standards are met and improve discoverability of our content. You will be instrumental in setting the commodities data modelling strategy and deliver high quality data using strong project management and leadership skills. In doing so, you'll build a close partnership with Engineering, Core Product, and other various stakeholders.

We'll Trust You To:

Recruit, mentor, and develop a team of data analysts and data management professionals who are experts in the commodities domain;
Foster and maintain strong relationships with other data and core business groups, such as Product, Sales, Enterprise, News and Engineering to help develop and improve fit-for-purpose data and functionality across the terminal;
Mobilize the team to design and implement proactive data quality management supported by client-focused metrics;
Implement a strong content acquisition strategy that is meta data and data quality driven;
Develop data modelling and ETL skills within the team to develop a robust data governance framework and ensure the interoperability of the commodity datasets;
Stay up to date with market trends and standard processes to be able to proactively spot opportunities for expanding our content coverage;
Identify and manage internal processes to find opportunities for improvement, as well as devise and implement new innovative workflow solutions;
Effectively project manage and set tangible data product strategy that is goal driven;
Manage and mentor the team on large and complex data projects and business initiatives.

A minimum of 3+ years* of formal leadership experience or strong informal leadership experience, and relevant commodities market knowledge;
Strong technical experience and domain expertise to lead and develop a team of data analysts and data management professionals;
Demonstrable experience in a data management related role such as data quality, content acquisition and data modelling;
Strategic vision to align your team's goals while providing outstanding ser *** to business and other internal/external clients;
Experience in driving strategies and managing complex projects;
Superb stakeholder management skills to establish strong credibility and i *** uential relationships to communicate business needs and an operational strategy to internal and external partners;
Good understanding of the commodity clients' needs and the different use cases;
Creative and flexible approach to problem solving as well as leadership ability in change management;
Strong knowledge of data processing paradigms and associated tools and technologies;
Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team.

We'd love to see:

Experience in semantic technologies, or an understanding of their structures;
Understanding of Data Governance and Data Management;
Client facing experience or some level of indirect client interaction;
Commodity markets work experience or proven knowledge;
Proven ability to build i *** uential relationships with multiple internal and external clients and partners;
Strong understanding of the *** commodities data product and terminal functionality;
Exposure to the *** Enterprise data products;
Varied project management experience and/or certifications (CAPM, PMP and/or CSM);
Experience using data visualization tools such as QlikSense.

Does this sound like you?

Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are.

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or [Please reply using Staff Me Up]?

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/23

Senior Data Management Professional - Data Engineering - Equity Corporate Actions Data, Hong Kong

Hong Kong, Hong Kong Details

Full Time

Job Requirements: Must be local to location (or willing to work as a local).

Take ownership of the technical projects and their designs
Build and iterate at a rapid and incremental pace following the full software development life cycle best practices
Mentor junior data engineers to design, develop, and release high-quality and maintainable code
Develop the team through extensive coaching, mentoring, training and delegation
Collaborate with Engineering, Product and other partners to refine requirements and iterate on different projects

You'll need to have:

4+ years of Python programming and scripting in a production environment
4+ years of experience working in a data engineering role
Familiarity with data management and ETL pipelines development
Familiarity with data science and machine learning techniques to help with automation
Previous hands-on work with a microser *** architectural style, NoSQL - Databases and Cloud-Based Object Stores
Strong communication and interpersonal skills
Strong analytical and creative problem solving skills

We'd Love to See:

Experience building critical pipelines of data flowing from unstructured source documents to structured/mapped/schema-based data stores for downstream consumption, with an emphasis on automation over manual re *** tion, and on scalability/configurability.
An understanding of the design, implementation, and deployment of high performance, high availability, large-scale applications in a distributed environment

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

*** is committed to diversity. It drives our innovation. At *** , you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and *** services fosters innovation and empowers clients, and offers nearly limitless opportunities for career growth.

Find out more here:

Hong Kong | www. *** .com/hongkong

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/20

Senior Data Management Professional - Data Product Owner - Fast-infra Sustainable Infrastructure

New York, NY Details

Full Time

At *** we believe in the importance of a sustainable world, and strive to positively i *** uence climate change, among other things, through reliable and transparent data. That's why we're taking action, using our expertise in data - and decades of experience leading from the front - to introduce the FAST-Infra Sustainable Infrastructure label to the broader market.

About FAST-Infra:

Finance to Accelerate the Sustainable Transition-Infrastructure (FAST-Infra) is a public-private initiative formed by HSBC, IFC, OECD, CPI and GIF under the auspices of the One Planet Lab - an initiative of the President of France. Fast-Infra proposes practical and inclusive solutions aimed at fostering sustainable infrastructure as a mainstream and liquid asset class by embedding sustainability across the life cycle of infrastructure projects and by crowding in private investment at scale.

*** together with Global Infrastructure Basel (GIB) will work together as the Data Repository and Secretariat respectively of the FAST-Infra Sustainable Infrastructure Label, a globally applicable label for projects demonstrating significant positive sustainability performance. The label is an initiative led by the FAST-Infra Group and initially supported by the governments of France and Singapore, originally conceived of in the One Planet Lab. Press release: *** href=" *** " target="_blank"> *** .

The Role:

We are looking for a Sustainable Infrastructure Product Owner passionate about developing a label that will help add transparency and accelerate the sustainable transition infrastructure.

In this role you will collaborate with the members of the GIB Secretariat, FAST-Infra partners, and *** aligned teams to improve the impact of the FAST-Infra Sustainable Infrastructure Label. With your experience in project management, data management, and sustainability, you will be responsible for the delivery of data project commitments, act as the liaison across teams to break down terminology barriers, and maintain our roadmap of deliverables and commitments.

While demonstrating your market knowledge and experience in the sustainable infrastructure space you will be hands-on in advising on data collection efforts, data enrichment, and quality measures. You will help drive insights from the Data Repository to advise the Secretariat's agenda. You will work with Product and Engineering teams to integrate the Sustainable Infrastructure Label across financial data product offerings and workflow functionality, driving that will enable adoption at scale of the SI Label and sustainable project data.

We'll trust you to:

Bring deep expertise of sustainable infrastructure to set *** 's data strategy
Have strong market knowledge and understanding of how data industry players use and would want to engage with the FAST-Infra label to drive business decisions
Coordinate with GIB to perform activities that support the uptake of the SI Label
Serve as a subject matter expert and collaborate extensively with GIB, FAST-Infra partners, and team members
Develop proactive data quality strategies that ensure data is fit for purpose
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our Engineering and Product departments to craft solutions

You'll need to have:

4+ years of experience working within data product ownership or related field
2+ years of experience working with sustainability standards or labels
BA/BS in Sustainability, Economics, Finance, Political Science, Engineering, or related field
Track record in assessing the sustainability performance of infrastructure assets
Intimate understanding of how industry players apply sustainability data to drive business decisions
Proven track record of effective project management, meeting deliverables, and leading the execution of tasks both independently and collectively with a group
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
Understanding of quality assurance and quality control from a data and product perspective
Proficiency using scripting languages (preferably Python) to query and interrogate datasets
Experience using data visualization tools such as QlikSense and Tableau
A collaborative approach and outstanding relationship building and communication skills - both written and verbal at a global level
Strong attention to detail and high degree of demonstrated decision-making and problem-solving skills in a fast-paced, rapidly changing environment
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners

We'd love to see:

Master's degree in Sustainability, Public Policy, Economics, Finance, Engineering, MBA, or related field
ESG-related coursework or certification and solid understanding of the ESG market and data landscape
Strong professional networks within the global sustainable infrastructure space
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights
Experience manipulating and wrangling large datasets
Experience profiling datasets and coming up with necessary requirements
Proficiency in French

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/20

Senior Data Management Professional - Data Engineering - Entities

Princeton, NJ Details

Full Time

Identify and build automated solutions for the acquisition and processing of data that would otherwise require manual effort
Use data profiling and statistical analysis to identify trends and patterns for data duplication
Devise data quality strategies across various data workflows and oversee the governance
Design data models to build data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles
Communicate and collaborate across team members and complementary teams including Engineering, Product, and Enterprise
Contribute to the creation of standard methodologies and guidelines for data management and governance
Use data visualization skills to report on results of ongoing operations and projects, as required

You'll need to have:

Bachelor's degree or equivalent experience in Computer Science, or a related technical degree, preferably in combination with a Finance or Business field
4+ years using scripting languages (preferably Python) to query and interrogate datasets
Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines
Project management skills and the ability to adapt to tasks accordingly
Excellent written and verbal communication skills
Ability to work independently as well as in a team environment

We'd love to see:

Advanced degree/Master's degree in a Finance or STEM subject and/or Certified Data Management Professional (CDMP) designation
Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural Language Processing
Experience working in an Agile development team

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/16

Senior Data Management Professional - Data Engineering - Equity Corporate Actions Data, Shanghai

Shanghai, China Details

Full Time

Job Requirements: Must be local to location (or willing to work as a local).

Take ownership of the technical projects and their designs
Build and iterate at a rapid and incremental pace following the full software development life cycle best practices
Mentor junior data engineers to design, develop, and release high-quality and maintainable code
Develop the team through extensive coaching, mentoring, training and delegation
Collaborate with Engineering, Product and other partners to refine requirements and iterate on different projects

You'll need to have:

4+ years of Python programming and scripting in a production environment
4+ years of experience working in a data engineering role
Familiarity with data management and ETL pipelines development
Familiarity with data science and machine learning techniques to help with automation
Previous hands-on work with a microser *** architectural style, NoSQL - Databases and Cloud-Based Object Stores
Strong communication and interpersonal skills
Strong analytical and creative problem solving skills

We'd Love to See:

Experience building critical pipelines of data flowing from unstructured source documents to structured/mapped/schema-based data stores for downstream consumption, with an emphasis on automation over manual re *** tion, and on scalability/configurability.
An understanding of the design, implementation, and deployment of high performance, high availability, large-scale applications in a distributed environment

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

*** is committed to diversity. It drives our innovation. At *** , you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and *** services fosters innovation and empowers clients, and offers nearly limitless opportunities for career growth.

Find out more here:

Shanghai | www. *** .com/china

*** is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/16

Senior Data Management Professional - Data Product Owner - People Data, Private Markets

Princeton, NJ Details

Full Time

Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions
Define what a fit-for-purpose data product looks like, and ensure data product health metrics are readily measured and transparent
Identify, support, and develop strategies for new datasets
Take ownership of the quality of our Private Market Corporate Leadership and Director dataset making sure it is fit-for-purpose for clients
Lead and implement Data Quality projects based on evolving business prioritization and commercial landscapes
Make effective decisions in a fast-paced, rapidly changing environment
Mentor the People data team on industry trends, financial modeling, large and sophisticated data projects, and business initiatives

You'll need to have:

Bachelor's degree in Finance, Accounting, Statistics, Business, or related field
4+ years' experience of professional work experience in Data Product Ownership or related field
Understanding of the mechanics of the Private Markets domain, ability to quantify trends impacting the industry, and ability to provide analysis that can shape commercial decisions
Deep knowledge of equity research, qualitative analysis, or industry analysis
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights
Strategic approach to align client needs with team goals
Excellent interpersonal skills, allowing you to clearly communicate business needs
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners
Understanding of data integration using multiple data sources
Creative and flexible approach to problem solving, aided by strong data analysis skills
Understanding of quality assurance and quality control from a data and product perspective
Proficiency using scripting languages (preferably Python) to query and interrogate datasets
Experience using data visualization tools such as QlikSense and tableau
Proven track record of effective project management and meeting deliverables

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it)
Familiarity with Corporate Governance data
Experience or knowledge in *** products, *** terminal proficiency, and/or *** data workflows
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights
Experience manipulating and wrangling large datasets
Experience profiling datasets and coming up with necessary requirements

Does this sound like you?

Apply if you think we're a good match! We'll get in touch to let you know what the next steps are.

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/16

Senior Data Management Professional - Data Engineer - Events & Transcripts, Singapore

Singapore, Singapore Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

The Team:

Our Events and Transcripts Data team is seeking a Data Engineer to help us drive the data set forward. The team provides our users with complete, accurate and timely company events and transcripts information. We partner closely with the Product, Engineering, Sales and News areas to create data products to support the numerous use cases that our clients heavily rely on to drive their workflows. Cross-functional collaboration, deep domain knowledge, thoughtful automation, and data management expertise are *** for our ability to continuously deliver high quality fit for need data to our rapidly growing customer base.

The Role:

We are looking for a highly motivated individual with a passion for finance, data, and technology to increase value from our data product. In this role, you will need to understand our customers' needs and develops strategies to optimize the value of both Calendar events and Transcripts data for our customers and improve data operations. You will be a technical leader in this team, devising solutions for data challenges and solving problems with necessary technical solutions that you build. You will work together with quality point persons to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a significant impact on the team's success.

We trust you to:

Build and maintain robust and scalable data pipelines to support the ingestion, transformation, and loading of vast amounts of data from various sources using *** tech stack components such as *** Data Services, Dataflow recipes and Data Technologies Pipelines or equivalent tech stack such as *** S3, *** Web Services Lambda, Kafka, Python Pandas
Lead conversation with Data Technologies Team so that data strategies are aligned and each workflow's processes can be accounted for
Oversee data governance on the new and existing workflow while improving the data ingestion and interoperability *** ween our product and the rest
Devise data quality strategies across various data workflows and oversee its governance
Devise and implement data acquisition strategies for data fields from diverse and disparate, structured and unstructured sources
Set up business rules and visualization to measure and ensure the accuracy, timeliness, and completeness of our data using *** tech stack components such as business rule engines and QlikSense
Design producer database structures optimized for our specific use cases
Analyze internal processes to find opportunities for improvement and process engineer efficient and innovative workflows using programmatic machine learning approaches
Use your deep understanding of events and transcripts markets and data, including trading and analytics workflows, to create comprehensive and transparent solutions that fits the use case of our internal and external customers
Understand clients' and markets' needs on each data field to extract and maintain it
Apply your proven project management skills to ensure all technical projects are on track with right requirements
Be responsive, resourceful, flexible and an excellent collaborator
Partner with our Product, Technology and Data Management Lab team to ensure consistent principles are leveraged, tools are fit for purpose, and results will be measurable
Balance the best of technical and product knowledge to craft solutions for customers.

You'll need to have:

Minimum 3+ years of experience working with Python, JavaScript, SQL and NoSQL
Minimum 3+ years of experience working in a data engineering role or related fields such data quality, data modeling, or data architecture
Business proficiency or above in Mandarin as the main coverage will be Chinese market
Demonstrated experience in Data management and experience in building ETL pipelines
A bachelor's degree or higher in Computer Science, Mathematics, or relevant data technology field, or degree-equivalent qualifications
4+ years experience of experience related to ingesting and normalizing disseminated data across different sources
Proficient in using Tech Stack such as *** S3, Lambda function, Kafka, Apache Airflow or *** Teck Stack in production environment
Exceptional problem-solving skills, numerical proficiency and high attention to detail
Ability to work independently as well as in a distributed team environment
Ability to optimally communicate and present concepts and methodologies to diverse audiences
Demonstrated continuous career growth within an organization
Excellent written and verbal communication skills in English

We'd Love to See:

Data Management Association Certified Data Management Professional, Data Capability Assessment Model certification

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Singapore | www. *** .com/singapore

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/12

Senior Data Management Professional - Data Quality - Securities

New York, NY Details

Full Time

*** runs on data, and in Data we're responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the *** Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. We're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately!

The Team:

Our dedicated team focuses on technical leadership, data management best practices and mentorship across the Securities group covering Fixed Income, Sanctions, Regulation, Mortgages, Foreign Exchange (FX), Listed Derivatives and Corporate Actions data products.

We provide Securities teams with expertise and guidance in the areas of data quality, data engineering, data modeling and AI, with the ultimate goal of achieving technical excellence of our people & products in order to deliver easy to use, aligned, consistent and interconnected datasets that meet our clients' needs.

As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.

What's the role?

We are looking for a candidate to help build out effective data management solutions and promote practices to define, measure and manage data quality of our datasets.

That means:

Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group

We'll trust you to:

Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
Perform data profiling and apply statistical methods to support data quality measurements
Optimally and proactively connect with partners and senior management
Keep up with the industry trends, standards, and innovation in the Data Quality domain

You'll need to have:

4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
Understanding of ETL processes and broader data workflow engineering concepts
Up-to-date knowledge of events taking place in the financial markets
Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills

We'd love to see:

DAMA CDMP or DCAM certifications
Familiarity with Corporate Actions, Fixed Income, Mortgages, FX, or Listed Derivatives asset classes
Project Management experience developed in a matrixed partner environment and cross-regional business

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

4/5

Senior Data Management Professional - Data Engineering - Private Credit

London, United Kingdom Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team:

Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Private Credit team work closely with internal partners including the Engineering, Core Product, News and Enterprise.

We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs.

What's the role?

As a Data Engineer for Private Credit, you will use your domain expertise to handle and improve the financial data that feeds *** products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market.

You will be responsible for the data management of publicly filed Private Credit data by BDCs (Business Development Companies) as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Private Credit data as well as leading the technical implementation of on-boarding new datasets. You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision.

We'll trust you to:

Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions
Be responsible for the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field
Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions
Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News
Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles
Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions
Use data visualization skills to report on results of ongoing operations and projects, as required

3+ years of programming experience in a development and/or production environment*
Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines
A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling
Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines
Understanding of data quality standard methodologies to improve the value of the dataset
Proven track record of effective project management and a customer focused mentality

We'd like to see:

Advanced degree/Master's degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it)
Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
Experience designing optimal database structures
Experience working in an Agile development team

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

*** is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or [Please reply using Staff Me Up]

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

2/1

Staff Production Engineer - Data Management

Sydney, Australia Details

Full Time

Job Summary:

Your role?

Core Pipeline is a globally distributed team that develops tools and workflows that act as the foundational infrastructure for ILM's creative departments at all of our locations around the world. We work closely with CG Production to create innovative tooling for *** management, publishing and asset management, developer platforms, and other core services. We work with all levels of artists and supervisors to create efficient, resilient, and artist-friendly software.

Within Core Pipeline, the Data Management Engineering team is responsible for global publishing and data synchronization systems. The Senior Production Engineer is responsible for architecting and developing key aspects of the Visual Effects (VFX) production pipeline. They will be a strong individual contributor and teammate, helping to design and deliver core data management services upon which the VFX pipeline depends.

Don't let imposter syndrome hold you back from applying. Great people do not always tick every box. If you think you would thrive in this role, we encourage you to apply.

What will you be doing?

The Data Management team covers a wide array of services and functions. As a Staff Production Engineer you may be required to do some or all of the following:

Work closely with development teams to ensure applications are designed for scalability, reliability, and performance.
Design, deploy, and maintain distributed, multi-region, highly scalable, reliable services to support publishing and storage management systems.
Continuously improve our application infrastructure and processes.
Lead projects and mentor engineers. Contribute to the development of the global team.
Drive discussions around the future of data management at ILM.
Provide support in the event of critical ser *** downtime.

To be a contributing member of this team, you will have a mix of these skills:

Expert knowledge of Python and the Linux environment.
Experience developing with Elixir or similar ser *** oriented languages
Expert knowledge of building and deploying reliable web services.
Experience with several relational or NoSQL technologies such as MySQL, PostgreSQL, MongoDB, Redis, Cassandra, ElasticSearch.
Experience designing and implementing distributed systems in multi-region environments.
A clear and concise communicator: able to keep end users informed of progress and managers informed of requests.
Experience and knowledge of working with event sourced systems.
Experience working with network and application protocols like NFS, TCP, gRPC, HTTP, etc...
Bachelor's degree, M.Sc, or Ph.D in Computing Science, or equivalent professional experience.
Strong problem-solving and troubleshooting skills.
An ownership mentality.
Experience working with remote team members.

The following qualifications are a plus:

Experience with message queuing systems such as RabbitMQ or Kafka
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
VFX, Feature Animation or Episodic production experience

Who we're looking for?

Do you have a passion for technology, systems design, and solving puzzles? Can you drive projects through to completion, juggle competing priorities, and think on your feet? Do you delight in creating ingenious solutions, brainstorming with a global team, and bringing fresh ideas to the table? Are you an empathetic listener, a concise technical communicator, and love keeping stakeholders up to date?

Then yes, we're looking for you.

If you are a Staff Engineer with a strong background in data-intensive systems and are looking for an exciting opportunity to make movie magic, we encourage you to apply.

JoinILM

At *** /ILM we believe that diversity, inclusion and belonging are integral to our company. We are at our best when our people at all levels reflect the vast life experiences of our audiences, and we thrive when ideas and decisions from all are valued and represented. If you are passionate about the role, but don't fit every criteria of the posting, we encourage you to still apply. We want to hear your story.

About *** :

Founded in 1975 by George Lucas, ILM is the leading effects facility in the world, serving the motion picture, commercial production, and attraction industries. ILM has created visual effects for over 325 feature films and has played a key role in seven of the top 10 worldwide box-office hits of all time and has contributed to 25 of the top 50. ILM has set the standard for visual effects, creating some of the most stunning images in the history of film. At the forefront of the digital revolution, the company continues to break new ground in visual effects, VR, AR, and Immersive Cinema.

About *** :

*** , together with its subsidiaries and affiliates, is a leading diversified international family entertainment and *** enterprise with the following business segments: *** Entertainment, *** , *** Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, *** proudly continues its legacy of creating world-class stories and experiences for every member of the family. *** 's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with ILM (Australia) Pty. Ltd. , which is part of a business we call *** .

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/31

Senior Production Engineer - Data Management

Sydney, Australia Details

Full Time

Job Summary:

Your role?

Core Pipeline is a globally distributed team that develops tools and workflows that act as the foundational infrastructure for ILM's creative departments at all of our locations around the world. We work closely with CG Production to create innovative tooling for *** management, publishing and asset management, developer platforms, and other core services. We work with all levels of artists and supervisors to create efficient, resilient, and artist-friendly software.

Within Core Pipeline, the Data Management Engineering team is responsible for global publishing and data synchronization systems. The Senior Production Engineer is responsible for architecting and developing key aspects of the Visual Effects (VFX) production pipeline. They will be a strong individual contributor and teammate, helping to design and deliver core data management services upon which the VFX pipeline depends.

Don't let imposter syndrome hold you back from applying. Great people do not always tick every box. If you think you would thrive in this role, we encourage you to apply.

What will you be doing?

The Data Management team covers a wide array of services and functions. As a Senior Production Engineer you may be required to do some or all of the following:

Work closely with development teams to ensure applications are designed for scalability, reliability, and performance.
Design, deploy, and maintain distributed, multi-region, highly scalable, reliable services to support publishing and storage management systems.
Continuously improve our application infrastructure and processes.
Drive discussions around the future of data management at ILM.
Provide support in the event of critical ser *** downtime.

To be a contributing member of this team, you will have a mix of these skills:

Expert knowledge of Python and the Linux environment.
Experience with several relational or NoSQL technologies such as MySQL, PostgreSQL, MongoDB, Redis, Cassandra, ElasticSearch.
Experience designing and implementing distributed systems in multi-region environments.
Experience working with network and application protocols like NFS, TCP, gRPC, HTTP, etc...
Experience and knowledge of working with event sourced systems.
Bachelor's degree, M.Sc, or Ph.D in Computing Science, or equivalent professional experience.
A clear and concise communicator: able to keep end users informed of progress and managers informed of requests.
Strong problem-solving and troubleshooting skills.
An ownership mentality.
Experience working with remote team members.

The following qualifications are a plus:

Experience developing with or strong desire to learn Elixir
Experience with message queuing systems such as RabbitMQ or Kafka
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
VFX, Feature Animation or Episodic production experience

Who we're looking for?

Do you have a passion for technology, systems design, and solving puzzles? Can you drive projects through to completion, juggle competing priorities, and think on your feet? Do you delight in creating ingenious solutions, brainstorming with a global team, and bringing fresh ideas to the table? Are you an empathetic listener, a concise technical communicator, and love keeping stakeholders up to date?

Then yes, we're looking for you.

If you are a Senior Engineer with a strong background in data-intensive systems and are looking for an exciting opportunity to make movie magic, we encourage you to apply.

JoinILM

At *** /ILM we believe that diversity, inclusion and belonging are integral to our company. We are at our best when our people at all levels reflect the vast life experiences of our audiences, and we thrive when ideas and decisions from all are valued and represented. If you are passionate about the role, but don't fit every criteria of the posting, we encourage you to still apply. We want to hear your story.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/31

Senior Data Management Professional - Data Product Owner - Company Financials, Consumer, Singapore

Singapore, Singapore Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while continuously looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the Role?

The Company Financials Consumer Discretionary & Staples Team is looking for an Industry Product Owner focused on developing the commercialization strategy for the Consumer sector. This role is key in setting strategy for our Consumer datasets for global companies. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions.

In this role, you will be expected to drive the strategy for the Consumer datasets and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, News, *** Intelligence, Sales & Analytics, our Data Governance team, Engineering, and most importantly external clients.

We'll trust you to:

Bring deep expertise of the Consumer sector (& datasets) to drive *** 's data strategy.
Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
Identify, support, and develop strategies for new datasets.
Drive marketing efforts for product developments via sales campaigns, webinars, news and social *** .
Take ownership of the quality of our Consumer data making sure it is fit-for-purpose for clients.
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
Make effective decisions in a fast-paced, rapidly changing environment.
Mentor the global Consumer team on industry trends, financial modeling, large and complex data projects, and business initiatives related to the Consumer industry.

You'll need to have:.

Minimum 4 years of work experience in Data Product Ownership/Manager role or data management related fields such data quality, data modeling, data architecture to tell a narrative and/or generate data-driven insights.
Demonstrated experience in financial statement analysis, financial modeling or industry analysis.
Demonstrated experience in Consumer Discretionary & Staples markets and products.
Ability to quantify Consumer Discretionary & Staples trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
A bachelor's degree or higher in relevant Finance, Accounting, Statistics, Business, or related field, or degree-equivalent qualifications
Strategic attitude to align client needs with team goals.
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners.
Understanding of data integration using multiple data sources.
Creative and flexible approach to problem solving, aided by strong data analysis skills.
Understanding of quality assurance and quality control from a data and product perspective.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Experience using data visualization tools such as QlikSense and tableau.
Proven track record of effective project management and meeting deliverables.
Demonstrated continuous career growth within an organization
Excellent written and verbal communication skill in English, allowing you to clearly communicate business needs.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Familiarity with Consumer analytics data and available industry statistics from sources such as Bureau of Labor Statistics, Industry Associations, and Second Measure.
Experience or knowledge in *** Company Financials products, *** terminal fluency, and/or *** data workflows.
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
Experience manipulating and wrangling large datasets.
Experience profiling datasets and coming up with necessary requirements.

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/26

Senior Production Engineer - Data Management

Vancouver, Canada Details

Full Time

Job Summary:

Position Summary

Core Pipeline is a globally distributed team that develops tools and workflows that act as the foundational infrastructure for ILM's creative departments at all of our locations around the world. We work closely with CG Production to create innovative tooling for *** management, publishing and asset management, developer platforms, and other core services. We work with all levels of artists and supervisors to create efficient, resilient, and artist-friendly software.

Within Core Pipeline, the Data Management Engineering team is responsible for global publishing and data synchronization systems. The Senior Production Engineer is responsible for architecting and developing key aspects of the Visual Effects (VFX) production pipeline. They will be a strong individual contributor and teammate, helping to design and deliver core data management services upon which the VFX pipeline depends.

Don't let imposter syndrome hold you back from applying. Great people do not always tick every box. If you think you would thrive in this role, we encourage you to apply.

What You'll Do

The Data Management team covers a wide array of services and functions. As a Senior Production Engineer you may be required to do some or all of the following:

Work closely with development teams to ensure applications are designed for scalability, reliability, and performance.
Design, deploy, and maintain distributed, multi-region, highly scalable, reliable services to support publishing and storage management systems.
Continuously improve our application infrastructure and processes.
Drive discussions around the future of data management at ILM.
Provide support in the event of critical ser *** downtime.

What We're Looking For

We are looking for a Senior Platform Engineer with the following qualifications:

Expert knowledge of Python and the Linux environment.
Experience with several relational or NoSQL technologies such as MySQL, PostgreSQL, MongoDB, Redis, Cassandra, ElasticSearch.
Experience designing and implementing distributed systems in multi-region environments.
Experience working with network and application protocols like NFS, TCP, gRPC, HTTP, etc...
Experience and knowledge of working with event sourced systems.
Bachelor's degree, M.Sc, or Ph.D in Computing Science, or equivalent professional experience.
A clear and concise communicator: able to keep end users informed of progress and managers informed of requests.
Strong problem-solving and troubleshooting skills.
An ownership mentality.
Experience working with remote team members.

The following qualifications are a plus:

Experience developing with or strong desire to learn Elixir
Experience with message queuing systems such as RabbitMQ or Kafka
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
VFX, Feature Animation or Episodic production experience

Who We're Looking For

Do you have a passion for technology, systems design, and solving puzzles?
Can you drive projects through to completion, juggle competing priorities, and think on your feet?
Do you delight in creating ingenious solutions, brainstorming with a global team, and bringing fresh ideas to the table?
Are you an empathetic listener, a concise technical communicator, and love keeping stakeholders up to date?

Then yes, we're looking for you.

If you are a Senior Engineer with a strong background in data-intensive systems and are looking for an exciting opportunity to make movie magic, we encourage you to apply.

JoinILM

The hiring range for this position in Vancouver is C$122,400 to C$156,800 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A full range of medical, financial, and/or other variable pay or benefits, may be offered dependent on the level and position offered.

About *** :

Founded in 1975 by George Lucas, ILM is the leading effects facility in the world, serving the motion picture, commercial production, and attraction industries. ILM has created visual effects for over 325 feature films and has played a key role in seven of the top 10 worldwide box-office hits of all time and has contributed to 25 of the top 50. ILM has set the standard for visual effects, creating some of the most stunning images in the history of film. At the forefront of the digital revolution, the company continues to break new ground in visual effects, VR, AR, and Immersive Cinema.

About *** :

*** , together with its subsidiaries and affiliates, is a leading diversified international family entertainment and *** enterprise with the following business segments: *** Entertainment, *** , *** Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, *** proudly continues its legacy of creating world-class stories and experiences for every member of the family. *** 's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with ILM (Vancouver) Inc. , which is part of a business we call *** .

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/26

Staff Production Engineer - Data Management

Vancouver, Canada Details

Full Time

Job Summary:

Position Summary

Core Pipeline is a globally distributed team that develops tools and workflows that act as the foundational infrastructure for ILM's creative departments at all of our locations around the world. We work closely with CG Production to create innovative tooling for *** management, publishing and asset management, developer platforms, and other core services. We work with all levels of artists and supervisors to create efficient, resilient, and artist-friendly software.

Within Core Pipeline, the Data Management Engineering team is responsible for global publishing systems and storage management systems. The Staff Production Engineer is responsible for architecting and developing key aspects of the Visual Effects (VFX) production pipeline. They will be active in technical leadership and mentoring teammates, and will ultimately design and deliver core data management services upon which the VFX pipeline depends.

Don't let imposter syndrome hold you back from applying. Great people do not always tick every box. If you think you would thrive in this role, we encourage you to apply.

What You'll Do

The Data Management team covers a wide array of services and functions. As a Staff Production Engineer you may be required to do some or all of the following:

Work closely with development teams to ensure applications are designed for scalability, reliability, and performance.
Design, deploy, and maintain distributed, multi-region, highly scalable, reliable services to support publishing and storage management systems.
Continuously improve our application infrastructure and processes.
Lead projects and mentor engineers. Contribute to the development of the global team.
Drive discussions around the future of data management at ILM.
Provide support in the event of critical ser *** downtime.

What We're Looking For

We are looking for a Staff Platform Engineer with the following qualifications:

Expert knowledge of Python and the Linux environment.
Experience developing with Elixir or similar ser *** oriented languages
Expert knowledge of building and deploying reliable web services.
Experience with several relational or NoSQL technologies such as MySQL, PostgreSQL, MongoDB, Redis, Cassandra, ElasticSearch.
Experience designing and implementing distributed systems in multi-region environments.
A clear and concise communicator: able to keep end users informed of progress and managers informed of requests.
Experience and knowledge of working with event sourced systems.
Experience working with network and application protocols like NFS, TCP, gRPC, HTTP, etc...
Bachelor's degree, M.Sc, or Ph.D in Computing Science, or equivalent professional experience.
Strong problem-solving and troubleshooting skills.
An ownership mentality.
Experience working with remote team members.

The following qualifications are a plus:

Experience with message queuing systems such as RabbitMQ or Kafka
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
VFX, Feature Animation or Episodic production experience

Who We're Looking For

Do you have a passion for technology, systems design, and solving puzzles?
Can you drive projects through to completion, juggle competing priorities, and think on your feet?
Do you delight in creating ingenious solutions, brainstorming with a global team, and bringing fresh ideas to the table?
Are you an empathetic listener, a concise technical communicator, and love keeping stakeholders up to date?

Then yes, we're looking for you.

If you are a Staff Engineer with a strong background in data-intensive systems and are looking for an exciting opportunity to make movie magic, we encourage you to apply.
JoinILM

The hiring range for this position in Vancouver is C$137,300 to C$175,800 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A full range of medical, financial, and/or other variable pay or benefits, may be offered dependent on the level and position offered.

About *** :

Founded in 1975 by George Lucas, ILM is the leading effects facility in the world, serving the motion picture, commercial production, and attraction industries. ILM has created visual effects for over 325 feature films and has played a key role in seven of the top 10 worldwide box-office hits of all time and has contributed to 25 of the top 50. ILM has set the standard for visual effects, creating some of the most stunning images in the history of film. At the forefront of the digital revolution, the company continues to break new ground in visual effects, VR, AR, and Immersive Cinema.

About *** :

*** , together with its subsidiaries and affiliates, is a leading diversified international family entertainment and *** enterprise with the following business segments: *** Entertainment, *** , *** Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, *** proudly continues its legacy of creating world-class stories and experiences for every member of the family. *** 's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with ILM (Vancouver) Inc. , which is part of a business we call *** .

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/24

Senior Data Management Professional - Data Product Owner - Company Financials, Healthcare - Tokyo

Tokyo, Japan Details

Full Time

*** runs on data. In *** Data, we're responsible for on-boarding, standardizing, analyzing and supplying it to our clients for their financial data needs.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while continuously looking to improve and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

The Role:

The Company Financials Healthcare Team is looking for an Industry Product Owner passionate about developing the commercialization strategy for the Healthcare sector. This role is key in setting strategy for our Healthcare datasets for global companies. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions.

In this role, you will be expected to drive the strategy for the Healthcare datasets and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, News, *** Intelligence, Sales & Analytics, our Data Governance team, Engineering, and most importantly external clients.

We'll trust you to:

Bring deep expertise of the Healthcare sector (& datasets) to drive *** 's data strategy.
Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
Identify, support, and develop strategies for new datasets.
Drive marketing efforts for product developments via sales campaigns, webinars, news and social *** .
Take ownership of the quality of our Healthcare data making sure it is fit-for-purpose for clients.
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
Make effective decisions in a fast-paced, rapidly changing environment.
Mentor the global Healthcare team on industry trends, financial modeling, large and sophisticated data projects, and business initiatives related to the Healthcare industry.

You'll need to have:

Bachelor's degree in Finance, Accounting, Statistics, Business, or related field.
4+ years' experience of professional work experience in Data Product Ownership or related field
Understanding of the mechanics of the Healthcare industry or a sub-sector, ability to quantify trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
Deep knowledge of financial statement analysis, financial modeling and industry analysis.
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights.
Strategic approach to align client needs with team goals.
Excellent interpersonal skills, allowing you to clearly communicate business needs.
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners.
Understanding of data integration using multiple data sources.
Creative and flexible approach to problem solving, aided by strong data analysis skills.
Understanding of quality assurance and quality control from a data and product perspective.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Experience using data visualization tools such as QlikSense and tableau.
Proven track record of effective project management and meeting deliverables.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Familiarity with Healthcare analytics data and available industry statistics.
Experience or knowledge in *** Company Financials products, *** terminal proficiency, and/or *** data workflows.
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
Experience manipulating and wrangling large datasets.
Experience profiling datasets and coming up with necessary requirements.

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Tokyo | www. *** .com/tokyo

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.?

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/24

Senior Data Management Professional - Data Product Owner - Company Financials, Healthcare - Shanghai

Shanghai, China Details

Full Time

Bring deep expertise of the Healthcare sector (& datasets) to drive *** 's data strategy.
Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
Identify, support, and develop strategies for new datasets.
Drive marketing efforts for product developments via sales campaigns, webinars, news and social *** .
Take ownership of the quality of our Healthcare data making sure it is fit-for-purpose for clients.
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
Make effective decisions in a fast-paced, rapidly changing environment.
Mentor the global Healthcare team on industry trends, financial modeling, large and sophisticated data projects, and business initiatives related to the Healthcare industry.

You'll need to have:

Bachelor's degree in Finance, Accounting, Statistics, Business, or related field.
4+ years' experience of professional work experience in Data Product Ownership or related field
Understanding of the mechanics of the Healthcare industry or a sub-sector, ability to quantify trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
Deep knowledge of financial statement analysis, financial modeling and industry analysis.
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights.
Strategic approach to align client needs with team goals.
Excellent interpersonal skills, allowing you to clearly communicate business needs.
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners.
Understanding of data integration using multiple data sources.
Creative and flexible approach to problem solving, aided by strong data analysis skills.
Understanding of quality assurance and quality control from a data and product perspective.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Experience using data visualization tools such as QlikSense and tableau.
Proven track record of effective project management and meeting deliverables.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Familiarity with Healthcare analytics data and available industry statistics.
Experience or knowledge in *** Company Financials products, *** terminal proficiency, and/or *** data workflows.
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
Experience manipulating and wrangling large datasets.
Experience profiling datasets and coming up with necessary requirements.

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Shanghai | www. *** .com/china

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.?

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/24

Senior Data Management Professional - Data Product Owner - Company Financials, Consumer

London, United Kingdom Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.
We are dedicated to crafting a best-in-class financial analysis and modeling product while continuously looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the Role?

The Company Financials Consumer Discretionary & Staples Team is looking for an Industry Product Owner focused on developing the commercialization strategy for the Consumer sector. This role is key in setting strategy for our Consumer datasets for global companies. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions.
In this role, you will be expected to drive the strategy for the Consumer datasets and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, News, *** Intelligence, Sales & Analytics, our Data Governance team, Engineering, and most importantly external clients.

We'll trust you to:

Bring deep expertise of the Consumer sector (& datasets) to drive *** 's data strategy.
Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
Identify, support, and develop strategies for new datasets.
Drive marketing efforts for product developments via sales campaigns, webinars, news and social *** .
Take ownership of the quality of our Consumer data making sure it is fit-for-purpose for clients.
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
Make effective decisions in a fast-paced, rapidly changing environment.
Mentor the global Consumer team on industry trends, financial modeling, large and complex data projects, and business initiatives related to the Consumer industry.

You'll need to have:

Bachelor's degree in Finance, Accounting, Statistics, Business, or related field.
4+ of professional work experience in Data Product Ownership or related field*
Understanding of the mechanics of the Consumer Discretionary & Staples industry or a sub-sector, ability to quantify trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
Deep knowledge of financial statement analysis, financial modeling and industry analysis.
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights.
Strategic attitude to align client needs with team goals.
Excellent communication skills, allowing you to clearly communicate business needs.
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners.
Understanding of data integration using multiple data sources.
Creative and flexible approach to problem solving, aided by strong data analysis skills.
Understanding of quality assurance and quality control from a data and product perspective.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Experience using data visualization tools such as QlikSense and tableau.
Proven track record of effective project management and meeting deliverables.

*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Familiarity with Consumer analytics data and available industry statistics from sources such as Bureau of Labor Statistics, Industry Associations, and Second Measure.
Experience or knowledge in *** Company Financials products, *** terminal fluency, and/or *** data workflows.
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
Experience manipulating and wrangling large datasets.
Experience profiling datasets and coming up with necessary requirements.

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or [Please reply using Staff Me Up]

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/24

Senior Data Management Professional - Data Product Owner - Company Financials, Healthcare - Hong Kong

Hong Kong, Hong Kong Details

Full Time

Bring deep expertise of the Healthcare sector (& datasets) to drive *** 's data strategy.
Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
Identify, support, and develop strategies for new datasets.
Drive marketing efforts for product developments via sales campaigns, webinars, news and social *** .
Take ownership of the quality of our Healthcare data making sure it is fit-for-purpose for clients.
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
Make effective decisions in a fast-paced, rapidly changing environment.
Mentor the global Healthcare team on industry trends, financial modeling, large and sophisticated data projects, and business initiatives related to the Healthcare industry.

You'll need to have:

Bachelor's degree in Finance, Accounting, Statistics, Business, or related field.
4+ years' experience of professional work experience in Data Product Ownership or related field
Understanding of the mechanics of the Healthcare industry or a sub-sector, ability to quantify trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
Deep knowledge of financial statement analysis, financial modeling and industry analysis.
A solid grasp of data management principles and technologies such as data modeling, data analysis and statistics to tell a narrative and/or generate data-driven insights.
Strategic approach to align client needs with team goals.
Excellent interpersonal skills, allowing you to clearly communicate business needs.
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners.
Understanding of data integration using multiple data sources.
Creative and flexible approach to problem solving, aided by strong data analysis skills.
Understanding of quality assurance and quality control from a data and product perspective.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Experience using data visualization tools such as QlikSense and tableau.
Proven track record of effective project management and meeting deliverables.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Familiarity with Healthcare analytics data and available industry statistics.
Experience or knowledge in *** Company Financials products, *** terminal proficiency, and/or *** data workflows.
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
Experience manipulating and wrangling large datasets.
Experience profiling datasets and coming up with necessary requirements.

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Hong Kong | www. *** .com/hongkong

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.?

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/24

Senior Data Management Professional - Data Product Owner - Company Financials, Consumer, Hong Kong

Hong Kong, Hong Kong Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while continuously looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the Role?

The Company Financials Consumer Discretionary & Staples Team is looking for an Industry Product Owner focused on developing the commercialization strategy for the Consumer sector. This role is key in setting strategy for our Consumer datasets for global companies. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions.

In this role, you will be expected to drive the strategy for the Consumer datasets and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, News, *** Intelligence, Sales & Analytics, our Data Governance team, Engineering, and most importantly external clients.

We'll trust you to:

Bring deep expertise of the Consumer sector (& datasets) to drive *** 's data strategy.
Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
Identify, support, and develop strategies for new datasets.
Drive marketing efforts for product developments via sales campaigns, webinars, news and social *** .
Take ownership of the quality of our Consumer data making sure it is fit-for-purpose for clients.
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
Make effective decisions in a fast-paced, rapidly changing environment.
Mentor the global Consumer team on industry trends, financial modeling, large and complex data projects, and business initiatives related to the Consumer industry.

You'll need to have:.

Minimum 4 years of work experience in Data Product Ownership/Manager role or data management related fields such data quality, data modeling, data architecture to tell a narrative and/or generate data-driven insights.
Demonstrated experience in financial statement analysis, financial modeling or industry analysis.
Demonstrated experience in Consumer Discretionary & Staples markets and products.
Ability to quantify Consumer Discretionary & Staples trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
A bachelor's degree or higher in relevant Finance, Accounting, Statistics, Business, or related field, or degree-equivalent qualifications
Strategic attitude to align client needs with team goals.
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners.
Understanding of data integration using multiple data sources.
Creative and flexible approach to problem solving, aided by strong data analysis skills.
Understanding of quality assurance and quality control from a data and product perspective.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Experience using data visualization tools such as QlikSense and tableau.
Proven track record of effective project management and meeting deliverables.
Demonstrated continuous career growth within an organization
Excellent written and verbal communication skill in English, allowing you to clearly communicate business needs.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Familiarity with Consumer analytics data and available industry statistics from sources such as Bureau of Labor Statistics, Industry Associations, and Second Measure.
Experience or knowledge in *** Company Financials products, *** terminal fluency, and/or *** data workflows.
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
Experience manipulating and wrangling large datasets.
Experience profiling datasets and coming up with necessary requirements.

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Hong Kong | www. *** .com/hongkong

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.?

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

1/24

Senior Data Management Professional - Data Product Owner - Company Financials, Consumer, Shanghai

Shanghai, China Details

Full Time

*** runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while continuously looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the Role?

The Company Financials Consumer Discretionary & Staples Team is looking for an Industry Product Owner focused on developing the commercialization strategy for the Consumer sector. This role is key in setting strategy for our Consumer datasets for global companies. You will need to be able to navigate through unknowns and ambiguity while making impactful decisions and be the driving force for solutions.

In this role, you will be expected to drive the strategy for the Consumer datasets and be the link that connects the team, product, and datasets with its users. This position requires extensive collaboration with global colleagues and partners such as Product, News, *** Intelligence, Sales & Analytics, our Data Governance team, Engineering, and most importantly external clients.

We'll trust you to:

Bring deep expertise of the Consumer sector (& datasets) to drive *** 's data strategy.
Understand customer needs and markets to ensure our consumer datasets are fit-for-purpose.
Identify, support, and develop strategies for new datasets.
Drive marketing efforts for product developments via sales campaigns, webinars, news and social *** .
Take ownership of the quality of our Consumer data making sure it is fit-for-purpose for clients.
Develop data-driven strategies, balancing the best of technical and product knowledge, and work with our engineering and product departments to craft solutions.
Make effective decisions in a fast-paced, rapidly changing environment.
Mentor the global Consumer team on industry trends, financial modeling, large and complex data projects, and business initiatives related to the Consumer industry.

You'll need to have:.

Minimum 4 years of work experience in Data Product Ownership/Manager role or data management related fields such data quality, data modeling, data architecture to tell a narrative and/or generate data-driven insights.
Demonstrated experience in financial statement analysis, financial modeling or industry analysis.
Demonstrated experience in Consumer Discretionary & Staples markets and products.
Ability to quantify Consumer Discretionary & Staples trends impacting the industry, and ability to provide analysis that can shape commercial decisions.
A bachelor's degree or higher in relevant Finance, Accounting, Statistics, Business, or related field, or degree-equivalent qualifications
Strategic attitude to align client needs with team goals.
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners.
Understanding of data integration using multiple data sources.
Creative and flexible approach to problem solving, aided by strong data analysis skills.
Understanding of quality assurance and quality control from a data and product perspective.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Experience using data visualization tools such as QlikSense and tableau.
Proven track record of effective project management and meeting deliverables.
Demonstrated continuous career growth within an organization
Excellent written and verbal communication skill in English, allowing you to clearly communicate business needs.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Familiarity with Consumer analytics data and available industry statistics from sources such as Bureau of Labor Statistics, Industry Associations, and Second Measure.
Experience or knowledge in *** Company Financials products, *** terminal fluency, and/or *** data workflows.
Experience using statistical methods, programming, and machine learning approaches to promote and measure data quality and generate insights.
Experience manipulating and wrangling large datasets.
Experience profiling datasets and coming up with necessary requirements.

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: ***

Why *** ?

We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Shanghai | www. *** .com/china

*** is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

*** provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [Please reply using Staff Me Up] (Americas), [Please reply using Staff Me Up] (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (Asia-Pacific), based on the region you are submitting an application for.?

This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.

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