Princeton, NJ Production Jobs

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5/8

Sound Mixer (With Gear)

Princeton, NJ Details

TBD

Film (Feature-length)

Starts Jun 18

For 1 Day(s)

5/8

Director of Photography (DP)

Princeton, NJ Details

TBD

Film (Feature-length)

Starts Jun 18

For 1 Day(s)

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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

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

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.

4/27

Sales Account And Data Administrator - Portuguese Speaker - Remote

Princeton, NJ Details

Full Time

At *** , 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're responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately.

The Green Markets team provides critical fertilizer data and insight on the fertilizer industry including current fertilizer prices, local fertilizer market reports, and more. By creating market transparency, Green Markets enables fertilizer professionals to make more informed decisions.

Our team has an exciting opportunity for a Sales Account and Data Admin. Our Sales teams are industry renowned for their subject matter expertise and platinum ser *** levels. Your focus area is to provide superb customer ser *** to a broad range of clients in the Brazilian Fertilizer Markets.

We'll trust you to:

Generate new sales of Green Markets Brazil industrial commodity price reports
Utilize sales skills such as pipeline management, ongoing prospect engagement, and the ability to close transactions
Create engagement opportunities by effectively managing leads and prospects, understanding the value position of products and services as they relate to the respective market segment and prioritizing accordingly
Track sales activities that generate visibility into sales activities, sales cycle, and lead generation effectiveness

You'll need to have:

Fluency in Brazilian Portuguese both spoken and written
1+ years of Data Processing and/or Data Management experience
Excellent verbal communication, organizational skill, and time-management skills
Ability to think independently
Moderate experience using MS Excel
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

We'd love to see:

Familiarity with the *** Terminal

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.

4/26

Senior Software Engineer

Princeton, NJ Details

Full Time

*** runs on data, it's our business and our product. The DataHub Engineering team provides a distributed platform for hosting datasets, complete with managed data stores, search, discovery, lakehouse and real-time stream processing capabilities. The platform provides a single place in the company to discover, access, publish and subscribe to data.

The DataHub team introduced the abstraction of "dataset", and invented a schema language to formally define all data at *** , complete with schema evolution, versioning, and true point in time semantics. We were the first team to introduce Kafka, Avro, company-wide Dataset Schema Registry, Mesos, Clustered MySQL, Vitess and Spark for ETL, at *** for designing this new data intensive platform that is the hub of financial datasets. The DataHub's DataOps and Infrastructure team designs, engineers and operates the infrastructure powering the DataHub platform.

Who are you?

We're looking for innovative problem solvers who enjoy pursuing complex issues to their root cause. Curiosity, kindness, and an appetite to continually learn and share knowledge are key traits to being a member of DataHub. On a technical level, we're looking for engineers who have proficiency and an interest in the following stack - Linux, Kubernetes, MySQL/RocksDB and infrastructure tools like OpenTofu, Ansible, OpenTelemetry.

We'll trust you to:

Design, build and maintain large clusters of Distributed Datastores composed of engines like MySQL/MyRocks scaled using Vitess to Petabytes of data with millisecond response on billions of reads and writes across 100s of independent financial applications
Ensure platform reliability, observability and efficiency
Customize Kubernetes clusters

You'll need to have:

4+ years of software engineering experience
Experience with an object-oriented programming language (ideally Python or Golang)
Prior experience diagnosing failures in MySQL/MyRocks engines, replication protocols
Experience building reliable data infrastructure
A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

We'd love to see

Any of your contributions in open source to Vitess, MySQL, RocksDB, MyRocks
Vitess Production Experience
Experience building custom resource controllers and Kubernetes operators.

About Us:

Meet the DataHub Engineering Team - ***

*** 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 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.

4/24

Team Leader - Municipal New Issuance Data

Princeton, NJ 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!

Our *** Municipal New Issues team is responsible for the timely and accurate updates on new municipal bonds coming to market, 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 New Issues team also works closely with internal consumers of our data including, News, Evaluated Pricing, and Index teams.

What's the role?

Data Team Leaders are the frontline managers and play a critical role in developing and leading individuals with diverse experiences and expertise spanning across several functions and subject matter areas.

The *** Municipal group is looking for a highly motivated and driven New Issues Team Leader to cover the data management, quality control, and data processes that drive our New Issues product. As a Team Leader, you will be directly responsible for managing, motivating, and developing a team of Data Professionals. You will set the team's strategy and the product's development roadmap by demonstrating good project management skills. In doing so, you'll build a close partnership with Engineering, Core Product, Enterprise, and other various partners.

We'll trust you to:

Attract, coach, develop, and retain a team of who are experts in their field, proven through (1) processing time-sensitive, high-quality data, (2) data analysis, (3) data management, and (4) project management
Lead the team to partner with other data and core business groups, such as Product, Sales, News and Engineering to help develop and improve fit-for-purpose data that powers our products, including functionality across the product set
Mobilize the team to design and implement proactive data quality management supported by client-focused metrics and process observability
Develop data modeling and ETL skills within the team and collaborate with Engineering teams to develop a robust data product that can deliver value across multiple client-facing products
Build processes and standards that enable delivery of data that meets or exceeds client SLAs and supports superior customer service
Develop the team's subject matter and data expertise, aligning to the current industry best practices and trends to be able to proactively spot gaps and opportunities for future innovations
Collaborate with global counterparts to evolve the workflow and operating procedures to ensure consistency in data quality across regions and products
Participate in technical discussions and provide insights on system design, code reviews and other relevant areas as required by the team
Solid understanding of technologies (Python, Unix, Github, data visualization tools)

You'll need to have:

A minimum of 3+ years of relevant leadership experience or strong relevant experience as an individual contributor, and relevant domain knowledge
Technical experience to lead a team of Data Engineers and ensure high standards in production deliveries
Understanding of the Fixed Income Market, preferably the Municipal Market
Bachelor's degree, preferably in STEM, Economics, a quantitative social science, or related business field
Demonstrable experience in a Data Management related role such as Data Quality, Data Modeling and/or Data Engineering
Demonstrable experience with Data Analysis using tools such as Python, SQL, and/or Tableau
Strategic vision to align team goals around providing outstanding ser *** to the business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision
Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team as well as communicate business and operational strategy to your team
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external partners

We'd love to see:

Demonstrated experience interpreting fixed income documentation, understanding of finance and themes in the market
Well-honed listening skills, allowing you to draw understanding of your team and clients' needs
Experience in semantic technologies, or an understanding of their structures
Understanding of Data Governance and Data Management
Experience using a Scrum Agile process

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.

4/20

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 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

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 Engineering - Classifications

Princeton, NJ Details

Full Time

Collect and assess the impact of global, regional, or local industry trends on a portfolio
Compare and report on industry sector exposures versus peers or benchmarks
Pinpoint industry investment opportunities across developed and emerging markets
Analyze sector and industry contributions to portfolio performance
Construct consistently defined global or regional sector-based and sector rotation strategies

The Role:

We are looking for a highly motivated Senior Data Engineer to set a technical strategy to ensure quality data and improve our workflow efficiency. You will be a technical leader within the global team mentoring others as you work together to use technology to address our data challenges. You will determine where we can leverage AI, machine learning, and human-in-the-loop approaches to ensure our data is fit-for-purpose.

We'll trust you to:

Analyze internal processes to find opportunities for improvement; devise and implement innovative solutions across datasets
Define a technical road-map using technical, product, and industry knowledge to ensure our data is meeting clients needs
Develop interconnected data models that enable analysis across datasets
Mentor technical members of the team and work together to implement the technical strategy determined
Communicate with both technical and non-technical partners as you determine client needs and identify technical solutions
Collaborate extensively with internal partners (primarily Core Product, Financial Solutions, News, and Engineering) to propose, develop and implement market leading solutions for our clients

You'll need to have:

Bachelor's degree or equivalent experience in Computer Science, Quantitative Finance, or a related technical degree, preferably in combination with a Finance or Business field
4+ years of programming and scripting in a production environment (Python, Javascript, etc)
Experience implementing Machine Learning, Artificial Intelligence, or Natural Language Processing
Powerful communication and collaboration skills to work across departments and with global teams
Solid attention to detail and high degree of demonstrated decision-making and problem solving skills
Openness to change and willingness to work through challenges
Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

We'd love to see:

Exposure to *** products such as the *** Professional Service
Experience implementing high volume, low-latency ETL pipelines
Experience working with an Agile development methodology such as Scrum

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

4/11

Team Leader - Third Party Index Data (index Automation)

Princeton, NJ Details

Full Time

*** runs on data, and the *** Data team is responsible for supplying it. Our department is responsible for collecting, analyzing, processing, and publishing the data that is the backbone of our iconic *** Terminal. We apply problem-solving skills to identify creative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Our Team

With over 500,000 indices supported, the Index Automation team helps to ensure the highly automated and structured nature of disclosure from our data providers is processed efficiently and produces high quality data for our clients. One of the primary responsibilities of the team is to build and support ETL data pipelines at scale using the Data Technology Stack. In addition, the team focuses on workflow automation, data quality processes and the design of our data models to ensure we deliver data that is fit-for-purpose. This requires a team that is well-versed in data technologies and collaborates well with our partners in Engineering.

What's the role?

The Third Party Indices Data team is looking for a highly motivated and technically savvy Team Leader to support and develop our team; a versatile team of data engineers. You will set the team's technical strategy and deliver high quality data, tools and systems using good programming, project management and leadership skills.

Responsibilities:

Attract, coach, develop, and retain a team of versatile data engineers
Lead the team to partner with other data and core business groups to develop and improve fit-for-purpose data that powers our products, including functionality across the product set
Foster and maintain strong relationships with engineering teams, and maintain awareness of technological developments within the department and industry to drive innovations and align developments
Mobilize the team to design and implement proactive data quality management supported by client-focused metrics and process observability (i.e. business intelligence)
Develop data modeling and ETL skills within the team and collaborate with Engineering teams to develop a robust data product that can deliver value across multiple client-facing products (e.g. Terminal, Enterprise files, etc.)
Build processes and standards that enable delivery of data that meets or exceeds client SLAs and supports superior customer service
Manage and analyze internal processes to find opportunities for improvement, as well as devise and implement new innovative workflow solutions to improve quality and time to market for the Index dataset
Perform incident management, from troubleshooting and root cause analysis to overall problem management and client critical issues
Effectively project manage and set tangible team and product goals

You'll need to have:

A minimum of 3+ years of relevant leadership experience or strong relevant experience as an individual contributor, and relevant domain knowledge
Technical experience to lead a team of data engineers and ensure high standards in production deliveries including deep technical competence in Python or another programming language
Expert-level knowledge of data processing paradigms and associated tools and technologies
Experience driving strategies, managing complex projects, and leadership ability in change management or i *** uencing others
Demonstrable ability to use technology to develop innovative data products and processes
A Bachelor's degree in; Computer Science, Mathematics, Engineering, or related degree/equivalent experience

We'd love to see:

A Master's degree or equivalent experience in Computer Science, Data Science, Information Systems, Engineering, or another computational or business field
Market knowledge in the index space: Methodology, fundamental calculations, contemporary trends in indexing, etc
Experience deploying and maintaining production workflows (e.g., ETL, predictive models)
Varied project management experience and/or certifications (CAPM, PMP and/or CSM)
Presence in virtual development communities such as GitHub, Stack Overflow and HackerRank
Experience using data visualization tools such as Tableau or QlikSense

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

3/28

Team Leader - Inventories And Integration Data

Princeton, NJ 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!

Our Team:

The Data Inventories and Integration team acts as the bridge *** ween modeling and the data at *** . This work includes managing the semantic and field inventories, working with subject matter experts to help onboard them to the Metadata tech stack, and much more! The team composition features technical specialists and data engineers to drive these initiatives.

What's the role?

Data Team Leaders are the frontline managers and play a critical role in developing and leading individuals with diverse experience and expertise spanning across several functions and subject matter areas.

As a Team Leader of the Data Inventories and Integration team, you will be pivotal in the development of our Metadata products at *** . The day-to-day will vary, some days you'll advise engineers on the development of infrastructure and platforms. Other days, you'll meet with Data teams to promote Metadata best practices. Your work will touch a multitude of domains across different groups.

*This role is open in either our Princeton, NJ or NYC Office!

We'll trust you to:

Invest in and develop team members' abilities to establish a deep domain expertise in their respective area of specialization, while promoting a culture of cross team collaboration
Collaborate with strategic partners on large-scale programs (technical and operational) with enterprise-wide i *** uence through effective data governance, cross-team organization, risk management, and stakeholder engagement
Balance operational stability and adoption of new technologies during implementation, while challenging stakeholders' past assumptions and promote new ways of thinking
Establish close partnerships with Engineering and Product counterparts on priorities and implementation roadmaps
Participate in technical discussions and provide insights on design, code reviews, and other relevant areas as required by the team
Promote multi-dimensional (e.g. validity, completeness and consistency) data quality initiatives within the inventories and identify resolution strategies

You'll need to have:

A Bachelor's degree in Business, Project Management, Engineering or a related field
3+ years of formal people leadership experience, or strong informal leadership
1+ years of Python (or equivalent) programming and experience working with databases (SQL, NoSQL, graph, etc.)
Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders
Outstanding stakeholder management skills, able to thrive in a fast-changing environment to establish strong credibility with counterparts across the organization
Demonstrated ability to drive results, meet tight deadlines, and manage multiple priorities
Exposure to metadata systems, data modeling, semantic technologies, linked data and/or knowledge graphs

We'd love to see:

Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
Exposure to the *** Terminal and/or Enterprise Data products
Up-to-date knowledge of financial markets, and how *** products deliver value to our users
Experience with the Data tech stack (e.g. DTP, DFR, BBDS, etc.)
Project Management Professional (PMP) or other relevant certifications are desirable

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 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.

3/22

Bloomberg Intelligence Us Asset Backed Security Strategist

Princeton, NJ Details

Full Time

*** Intelligence ("BI") is looking for a U.S. structured product / asset backed security (ABS) strategist to complement its growing fixed income, currency & commodity research business. We are in the process of broadening our footprint, into adjacent asset classes and geographies.

The strategist will work closely with the MBS strategist to generate qualitative and quantitative insights on ABS (autos, credit cards, EETC, et al), CMBS, and other structured product markets for *** 's global user base. Candidates should be strong communicators capable of engaging with clients and collaborating with colleagues across geographies and markets.

REQUISITE EXPERIENCE AND S****S:

A minimum of 5 years professional experience covering and / or trading the asset class
Exceptional communication skills, written and verbal
Independent thinker with an entrepreneurial mindset
Ability to develop professional and collaborative relationships with peers and colleagues
Familiarity with *** family of indices
Bachelor's Degree, with CFA designation or MBA preferred
Strong knowledge of the *** Terminal
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: ***

*** 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] (mailto:[Please reply using Staff Me Up]) (Americas), [Please reply using Staff Me Up] (mailto:[Please reply using Staff Me Up]) (Europe, the Middle East and Africa), or [Please reply using Staff Me Up] (mailto:[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.

3/21

Legal Data Analyst - Case Analysis (indg)

Princeton, NJ Details

Full Time

Thinking about an alternative legal career?

Our Data team supports the *** Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. *** is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. INDG provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities.

The Legal Data Analysis team offers you an opportunity to advance and develop your legal career through a distinctive, non-traditional path. This role allows you to leverage your legal experience, critical thinking skills and strategic approach to build excellent products for *** Industry Group.

As a member of the Legal Data Analysis team, you will be at the forefront of new technology, creating and improving prompts, instructing models, annotating data for model training, and evaluating model performance, including large language models. To do so, we bring our robust legal domain knowledge to ensure data accuracy and deep understanding of our Industry Group customers. We collaborate with our Product and Engineering teams, aligning to drive product development and bring value to customers. The team's work is essential in supporting feature developments that use artificial intelligence and machine learning including *** Law's Docket Key, Points of Law, Brief Analyzer and Draft Analyzer, *** Tax's search capabilities and *** Government's State Bill Comparison. This role will give the opportunity to display your enthusiasm, creativity, problem-solving and organizational skills, ability to collaborate, and flexibility in shifting *** ween projects in a fast-paced environment.

What's in it for you:

You'll form relationships through *** 's dynamic and collaborative environment where you will work with Engineering, among others, to ensure accurate understanding of customer's workflow and validate product builds
We'll invest in you, and coupled with our individualized approach to career development, we will help you expand your skills and opportunities. Both within the legal and alternative domains

We'll trust you to:

Contribute to the *** Industry Group platforms by supporting the development of new technology-driven solutions for legal, tax and government professionals
Iterate and develop prompts and instructions for models
Participate in data tagging and evaluation of model outputs as well as user acceptance testing
Analyze and share insights of evaluations results and findings with stakeholders, taking ownership and making recommendations
Manage vendors and conduct quality assurance

You'll need to have:

A Bachelor's degree
Graduated with a Juris Doctor (JD) degree from an accredited law school
Have passed a state Bar examination and been admitted
2+ years of relevant practice and work experience with the ability to bring deep understanding of user needs and workflows
Familiarity with online legal research tools
Excellent written and verbal communication skills, with particular focus on sophisticated and complex concepts
Strong project management, analytical, and problem-solving and creative thinking skills
Detail-oriented with a focus on quality and accuracy
Self-starter and the ability to work with a high-degree of autonomy
Legal authorization to work in the US without visa sponsorship now and in the future

We'd love to see:

Experience with the *** Law, *** Tax or *** Government products is a plus
Curiosity about technology and development of technical skills

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 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.

1/23

Data Team Lead - Company Financials, Healthcare

Princeton, NJ 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 an outstanding 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 a Team Leader to develop and lead a hard working team of individuals with diverse experience and expertise passionate about the Healthcare sector. Your team will demonstrate skills ranging from deep financial modeling to semantic modeling to data engineering.

The Company Financials Healthcare Team Leader is expected to guide their teams to think strategically, apply data management standard processes across a wide range of data sets, and to deliver quality data that is ready to use and fit-for-purpose for *** 's clients. You'll need to drive the development of financial knowledge, industry knowledge, data analytics, data engineering and more. You are encouraged to drive and instill a culture of commitment that will foster your team to execute on the department and Healthcare-specific strategy. This position requires extensive collaboration with global colleagues, and partners across business units.

We'll trust you to:

Mentor, encourage, and grow a dedicated team of sector experts, data engineers, and product owners to form a collaborative team through (1) processing time-sensitive, high-quality data, (2) data analysis, (3) data management, and (4) project management.
Develop each team member's financial knowledge, technical skills, and industry expertise through mentorship and constructive feedback to be able to proactively spot gaps and opportunities for future innovations.
Be an advocate for Diversity, Equity and Inclusion, truly understanding its importance to our business, culture, and people.
Stay engaged with the Healthcare sector and product developments to define, adapt, and lead the Healthcare sector data strategy.
Lead the team to partner with global counterparts, other data teams, and core business groups, including Product, News, *** Intelligence and Engineering to help develop and improve fit-for-purpose data that powers our products, including functionality across the product set.
Mobilize the team to craft and implement proactive data quality management supported by client-focused metrics and process observability (i.e. business intelligence) for Healthcare and supporting department-wide initiatives.
Develop data modeling and ETL skills within the team and collaborate with Engineering teams to develop a robust Industrials data product that can deliver value across multiple client-facing products (e.g. Terminal, Enterprise files, etc).

You'll need to have:

A minimum of 3+ years of relevant leadership experience or strong relevant experience as an individual contributor, and relevant domain knowledge.
Bachelor's degree, preferably in Economics, a quantitative social science, finance, STEM or related business field.
Drive to build a sense of community in your team, and support Diversity, Equity and Inclusion initiatives across the organization.
Proven ability to establish strong credibility and build i *** uential relationships with your team as well as multiple internal and external clients and partners.
Experience working with large datasets, the ability to quantify trends impacting the industry and other market phenomena, and the ability to use qualitative and quantitative evidence to drive commercial decisions.
Solid understanding of financial statement analysis, financial modeling and industry analysis.
Strategic vision to align your team's goals around providing outstanding ser *** to both internal and external clients, and the ability to implement a business and people strategy which delivers on that vision.
Deep understanding of the mechanics of the Healthcare industry or a sub-sector.
A strong grasp of data management principles and technologies such as data modeling, data analysis, statistics, and data integration using multiple data sources.
Proficiency using scripting languages (preferably Python) to query and interrogate datasets.
Excellent communication skills, allowing you to clearly communicate business needs and to advocate on behalf of your team as well as communicate business and operational strategy to your team.
Creative and flexible approach to problem solving and a strong solution-seeking posture, aided by strong data analysis skills.

We'd love to see:

Master's degree in relevant field and/or CFA designation (or working towards it).
Demonstrated success leading diverse teams and driving diversity initiatives.
Experience or knowledge in *** Company Financials products, *** terminal proficiency, and/or *** data workflows.
Experience using data visualization tools such as QlikSense and PowerBI.
Understanding of Data Governance and Data Management.
Familiarity with Healthcare analytics data and available industry statistics from sources such as Industry Associations.
Americas specific experience working with the Healthcare sector.

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

1/6

Team Leader - Dividend Forecasting Data

Princeton, NJ Details

Full Time

Recruit, mentor, and develop a team of data analysts and data management professionals who are experts in their field through processing time-sensitive, high-quality financial data, data analysis, and project management
Collaborate globally with other data and core business groups, such as Product, Sales, News and Engineering to help develop and improve fit-for-purpose data and functionality across the terminal
Encourage the team to craft and implement proactive data quality management standard methodologies supported by customer-focused metrics and processes
Develop data modeling and ETL skills within the team while collaborating with Engineering teams to develop a robust dataset that increases client's value
Build processes that enable the best methods of delivering data that surpasses client expectations using data governance expertise alongside the Dividend Forecasting Data Product Owner
Stay up to date with industry trends and standard processes to be able to proactively spot opportunities for improvement
Maintain a portfolio of companies in which you'll be responsible for producing, reviewing, and updating dividend forecasts

You'll Need to Have:

3+ years of relevant leadership experience or strong relevant experience as an individual contributor as well as relevant domain knowledge
Demonstrable experience in data management related role such as data quality, data modeling and/or data engineering
Demonstrable experience with data analysis using tools such as Python, SQL, and/or Tableau
Experience working with large datasets alongside the ability to quantify trends impacting the industry
Ability to use qualitative and quantitative evidence to drive commercial decisions
Strategic vision to align your team's goals while providing outstanding ser *** to business and other internal/external clients
Experience implementing a product strategy which delivers on that vision
Superb interpersonal skills to establish strong credibility and i *** uential relationships in order to communicate business needs and an operational strategy to internal and external partners
Creative and flexible approach to problem solving, aided by strong data analysis skills

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

12/5

Data Quality Trainer - Consultant

Princeton, NJ Details

Full Time

Teach a variety of classes for experienced data professionals
Collaboratively define course structure, content, and delivery method to produce high quality training
Produce technical user documentation and case studies to support self-directed and e-learning
Work with domain experts to collaboratively craft content and deliver courses
Develop a deep knowledge of *** technologies and work across functional teams to stay ahead of with rapidly advancing enhancements
Capture requirements from technical partners and continuously adapt to business priorities
Be a problem solver and think creatively
Open to working in either our New York City or Princeton, NJ office locations!

You'll need to have:

3+ years of relevant work experience with a minimum of a bachelor's degree in Statistics, Computational Finance, or other STEM related field
Experience in data quality management consulting
General familiarity with other data management domains, such as data governance and data modeling, and how they interact with data quality
Proven experience in data profiling and using tools, such as Python, to perform data analysis on time series datasets
Experience in applying statistical, optimization, or econometric techniques to real-world datasets, to identify anomalies, perform sampling methods, find and communicate errors
Experience in crafting metrics and organization data product reports
Superb communication skills, both written and verbal, and the ability to explain concepts in a concise, logical manner
A passion for learning, teaching, and mastering sophisticated system functionality
Ability to comfortably and confidently present to groups of 20+ people using a variety of delivery methods
Ability to learn new technologies and techniques quickly through instruction and self-training
Relevant data training work experience
Ability to flexibly adapt to a changing environment

We'd Love to see:

Certification in DAMA CDMP or EDM DCAM similar
Ability to lead discussions and actively i *** uence the development of new strategies to improve course offerings

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 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.

10/18

Senior Software Engineer

Princeton, NJ Details

Full Time

Our Team:

*** 's Data and Runtime Stability SRE team is trusted to administer the end-to-end environment for *** 's installation of numerous services which support the applications that constitute *** 's line of products. On any given day we're inventing, engineering, developing, building, coding, trouble-shooting and maintaining a wide range of: tools, monitors, frameworks, interfaces, protocols, solutions and best-practices. These components stitch together a robust suite of automated and self-healing systems that manage the services that Data and Runtime provides to the rest of the firm. We improve uptime, provision and balance resources, architect and coordinate operational procedures, administer backup and recovery processes, coordinate maintenance windows, manage replication and oversee workflows.

The Role:

In addition to managing the overall Data and Runtime environment, you'll work directly on installations of technologies that use services such as RabbitMQ, Comdb2, Kafka, Redis and many more; getting to collaborate every day with the application developers that create these applications to integrate the services they provide into the *** operational environment as well as *** products. So, not only will you have high-level-ownership and "the classic SRE responsibilities" such as: system tuning, performance analysis and the management of patches, installations, and upgrades; you'll also have im *** te access to the experts that are designing and coding the *** specific components, APIs and methods. This means insight and entry to the lowest levels of how *** applications interact with each other and the Runtime environment for the purposes of both in-depth troubleshooting and enhancing stability, reliability, performance and feature-set.
We're open to trying new ideas, processes, and technologies. The right applicant will be imaginative, creative, self-motivated, and highly curious as innovation and initiative are highly valued here. Problem-solving, programming, logical frameworks, and Unix systems should all be second nature. We are looking for someone that will continually strive to improve our environment; regularly asking "why?" and saying: "we can make this *** ter!"

You'll need to have:

4+ years of programming experience with Python
A degree in Computer Science, Engineering or similar field of study or equivalent work experience
5+ years experience with Unix, Unix tools and shell scripting
Deep understanding of TCP/IP networking and the OSI model
Experience designing and automating repeatable processes in a client/server modeled environment
Experience supporting a highly available production systems
Ability to build and maintain highly sophisticated, performant, and scalable, critically important systems
Experience building monitors and alarms for system performance, status and stability
Experience with CI/CD systems and writing robust unit and system tests

We'd love to see:

Experience in Rapid framework
Experience analyzing existing systems and identifying shortcomings with concrete ideas for improvement
C programming skills
Experience designing stable, long-lasting APIs
Experience with Splunk/Humio and Grafana
Experience with GitHub and JIRA.

*** 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.

10/7

Print Operations, Supply Chain - Bloomberg Financial Solutions

Princeton, NJ Details

Full Time

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

*** is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 20,000+ employees across 176 offices globally, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.

The *** Financial Solutions department of 5,000+ employees is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with *** .

Our team:

BINK, *** LP's global in-house print operation, offers offset, digital, wide-format printing and fulfillment services. Facilities located in New Jersey, London and Hong Kong, the operation serves over 17,000 customers in 192 global offices, producing over 47,000 print requests in one year. We liaise with other business departments to produce print materials. On a regular basis the team reviews and resolves the best print and finishing processes; they anticipate and lead production challenges and communicate challenges to customers.

What's the role?

Performs a variety of hand operations to sort, assemble, fold, and bind printed materials in a printing in-plant. Package all finished printed pieces, assist the shipping supervisor with duties such as preparing the packages for delivery and runs machinery needed to finish the printed piece for delivery. Lifting of heavy materials is required.

We'll trust you to:

Assist bindery operators with assembling of books
Assist wide format finishing operators with packing of jobs
Transferring packed jobs over to shipping department
Multi-task print requests according to planned deadlines with attention to detail and quality
Champion an environment of teamwork and collaboration

We'd love to see:

2+ years of printing experience
Project management skills, including scheduling, milestone tracking verification
Print finishing experience
Warehouse services experience a plus

What's It Like To Work Here?

We work hard. We are ambitious and set ourselves tough business goals. We are a meritocracy where everyone has a voice - not a job title. Working with people you trust, respect, and can collaborate with is more important than titles or positions. Things move fast, and we want people who will enjoy working in this environment and feed off the energy. But it isn't all about work. Giving back is one of our core values, and there are many ways to get involved in philanthropic initiatives from helping local school kids with their reading to helping clean up local parks and waterways.

What is *** ?: ***
View our Benefits: ***

Does This Sound Like You?

Apply if you think we're a good match. We'll get in touch to let you know that 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 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 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.

10/4

Data Product Owner - Fund Classification

Princeton, NJ Details

Full Time

Direct a comprehensive and outcome driven data strategy for a data set. Own the design and implementation of all fund classification structures and hierarchies within the Data Product
Design and oversee processes to ensure high quality of all fund classification outputs
Establish and apply product thinking to data to provide the right capabilities to consumers at the right time
Engage with market participants and internal product partners to identify and ensure all client needs and trends are accounted for within our product design
Continuous evaluation of the fit-for-purpose nature of fund classification models
Outline strategic plans for development of current systems to meet customer needs, and maintain and evolve a business plan for Funds Classifications
Establish relationships with a range of fund houses and market players to engage on the topic of classification needs of our clients
Use your market knowledge to perform market analysis to assess fit for purpose of current classification hierarchies
Liaise with other departments, such as Product, Sales, News and Engineering to improve relevant product databases
Assist our world-renowned client support help desk with raised client inquiries, and upskill our clients through training and client calls
Take ownership and be proactive with our fund classification workflow, and set plans to ensure speed, accuracy and relevance are at the centre of our work.
Report on results of ongoing operations and projects, as required and produce metrics that measure business impact and success

You'll need to have:

A BA/BS degree or higher in relevant data technology field, or equivalent professional work experience
4+ years' experience of professional work experience in Data Product Ownership or related field
Experience working in the funds or asset management space particularly in the area of investment objectives setting and management
Comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering
Strong interest in problem solving particularly to modify and enhance processes and workflows
Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management
Ability to i *** uence others and lead change
Effective project management skills and ability to prioritize tasks accordingly
Ability to isolate issues and resolve problems logically
Ability to adapt within a fast-paced and dynamic environment, and desire to work on multidisciplinary teams
Desire to improve and further develop our products

We'd love to see:

Master's degree or certification such as a CFA charter holder or CAIA
Experience in customer ser *** or client relationship management
Experience leading a group of people to achieve a common goal
Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python

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/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.

9/16

Senior Data Analyst - Localization (german)

Princeton, NJ Details

Full Time

*** runs on data and technology. In our Data department, we're responsible for on-boarding, analyzing, applying, and supplying it so our clients can make informed decisions from a global perspective. We then take this perspective and bring data solutions to local markets. We solve for the problems of tomorrow.

What's the role?

You will be joining our Localization team that supports *** 's products for the German speaking market. As part of our global Localization team, you will be responsible for providing high quality German translations such as software localization, marketing materials, company information, financial content, and QA'ing analytical tools for our local clients. You will work closely with other Localization Analysts, Sales and Product teams, Data Analysts, and Software Developers to adapt our product for the local markets we operate in. Our team also supports *** 's sales efforts by providing products for the German speaking market. In this role, you'll be able to combine your language skills and passion for financial markets.

You'll need to have:

Native level fluency in German, with excellent verbal and written communication skills in both English and German, including familiarity with local culture and customs, and financial markets
4+ years' translation experience from English to German
Bachelor's Degree with a focus on Linguistics, Translation, and Language Localization, and excellent interpersonal skills to facilitate effective communication across teams
A strong work ethic; you'll work as part of a team and independently where you'll work with minimal supervision and be expected to deliver quality results under tight deadlines
Excellent prioritization and organization skills with the ability to lead projects-Strong knowledge of Localization processes and familiarity with CAT tools and terminology management
Project management experience
Legal authorization to work full-time in the United States and will not require visa sponsorship
We'd love to see:

Ability to effectively adapt to changing tools, technologies and work flows, and to actively contribute to improving processes for localization
Ability to collaborate with management in the development of product documentation and guidelines

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