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4/16

Bloomberg Intelligence - Data Integration Specialist

Princeton, NJ Details

Full Time

*** Intelligence ("BI") provides a comprehensive view of industries and their key constituents. We offer unsurpassed depth and breadth at the economic, strategy, sector, industry, political, credit and company levels. Our team of independent experts provide valuable written analysis, industry data and interactive charting. Our work gives trading and investment professionals deep insight into where crucial industries stand today and where they may be heading.

"As a data integration specialist, you should have experience in data management, automation, and visualization, with a strong focus on facilitating the onboarding and distribution of model outputs onto various *** platforms. You will manage and coordinate the data and outputs of existing models; while you will need to understand the context of the data, this role does not require industry, company or market subject matter expertise or the development of models. As part of the BI Product Development team, you will help define guidelines and best practices, evaluate new requirements, and help assess return on investment of developing tools and processes. You will be a key part of our growth and innovation."

WE'LL TRUST YOU TO:

Facilitate scheduling and automation of model runs to ensure timely and accurate data outputs.
Onboard critical timeseries output of models onto traditional *** tickers, ensuring seamless integration and accessibility.
Onboard robust granular data from models into NSD, managing data flows, and ensuring data accuracy and completeness.
Develop and implement visualization apps, such as DEX grids and Power BI applications, to allow users to interact with larger data sets flexibly and efficiently.
Communicate effectively with stakeholders to manage expectations, provide updates on project progress, and address any issues or concerns that arise.
Facilitate the inclusion of relevant datasets in Enterprise data sales offerings, ensuring data is packaged and presented in a way that maximizes its value.
Develop a process for determining effort estimates to assist in prioritization decisions and coordinate with the product owner on prioritization decisions and visibility into the project pipeline.
Facilitate distribution and access to models via BPAC, MMDL, and other platforms, ensuring secure and reliable access for all users.

WE ARE LOO**** FOR:

Strong project management, data management and communication skills
Familiarity with data management concepts and best practices
Proficiency with *** , Excel, Python
Ability to handle deadline pressure, work in an intense real-time environment
A team player who can help expand the team's skill and capacity for data integration
Entrepreneurial attitude, an innovator who can help BI develop new products

WE'D LOVE TO SEE:

Experience with data modeling and visualization software like Microsoft Power BIyou know that 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] (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 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

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.

4/11

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

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.

4/5

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 teams is responsible for the timely and accurate updates on new muni 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 practice 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

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
Understanding of the fixed income market, preferably the municipal market
Ability to spot market trends and act on them to enhance depth and breadth of coverage
Bachelor's degree, preferably in Economics, a quantitative social science, Finance, STEM or related business field
Experience working with large datasets, the ability to quantify trends impacting the industry and other market phenomena, and the ability to demonstrate qualitative and quantitative evidence to drive commercial decisions
Use statistics and data visualization skills to report on results of on-going operations and projects, as required
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
Creative and flexible approach to problem solving, aided by strong data analysis skills
Strong understanding of the multifaceted impact of financial data

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.

3/14

Senior Data Analyst - Loans 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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

The team:

The Americas Loans team is responsible for acquiring and maintaining the full life-cycle of data relating to all types of Syndicated Loans and Private Credit deals. We look beyond the headline or the numbers and live for the details and understand the importance of the underlying data that drives news, markets and analysis. We always relish the challenge of solving complex problems.

The role:

Our team is looking for a highly motivated and driven individual to develop and expand the scope and reach of the Loans product. You will liaise directly with both buy and sell-side clients to deepen our understanding of client workflows. You will be in constant communication with Syndicate Desks and other market participants who are bringing new deals to market to ensure we have the most accurate and up to date information. Key focus will be on developing a strong relationship that helps us source crucial data and leveraging those insights to improve our internal data workflows' timeliness, accuracy, and coverage.

Whether you are sourcing relevant market data from existing providers or establishing brand new relationships, managing complex financial data or implementing technology solutions using *** 's Data tech stack to enhance our processes and software, your work will ensure that we deliver accurate market data to the financial world, first!

We will trust you to:

Maintain the existing proprietary database of Syndicated Loans, currently via manual data entry and in the future, via re *** tion workflows upon implementing automation
Develop workflow and quality processes, support product development, and work closely with Engineering and Business teams to ensure user experience and functionality aligns with client's expectations and the overall product strategy
Expand the depth of our knowledge of client workflows with existing Loans clients to ensure timely acquisition of new issue loan data from involved parties and/or third-party systems
Collaborate with the Fixed Income and wider *** Data teams and liaise closely with sales teams to effectively serve *** 's client base

You'll need to have:

4+ year(s) of recent market data experience in the financial services industry, including exchanges, market data providers or financial institutions
At least a Bachelor's degree in; Finance, Business, Economics, Data Science, Statistics, STEM or related degree/equivalent experience
Interest, curiosity, and commitment to the nuanced Loans market, which includes a complex dataset comprising of 320+ datapoints per loan tranche
Ability to learn quickly and adapt to constant changes, as Loans Data is currently undergoing an internal workflow migration and the product continues to grow at ***
Strong research skills with attention to detail and high level of accuracy to uphold data quality
Team Player mindset. Shown ability in managing priorities from multiple internal and external partners
Excellent written and verbal communication skills
Working proficiency with Microsoft Excel and comfortable with command line tools
Demonstrated experience in programming language (such as Python) and interest in technology and data analysis. Knowledge of data management practices
Legal authorization to work in the US without visa sponsorship now and in the future
We'd love to see:

An existing network within Loan Industry is beneficial
Demonstrated experience of the fixed income or syndicated loans market
Ability to work with client service, sales support, or marketing role in the Loans Industry
Ability to spot market trends and act on them to generate new opportunities
Experience training and educating colleagues (teammates, vendors, etc.) or creating documentation for standards and procedures

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

2/8

Legal Data Analyst - Citator Data Enrichment

Princeton, NJ Details

Full Time

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. Our group within the Data department provides a variety of opportunities for professionals in the legal field to embark on a groundbreaking career combining their legal knowledge with world-class technology.

As a member of the Citator Data Enrichment team, you will have the opportunity to function as a subject matter authority in all areas of the law for our BCITE product, providing the legal insights our customers require. You will work with our business partners to ensure our caselaw data meets the high quality standards our clients expect, providing timely and accurate analytics. You will also have the unique opportunity to partner with engineering and machine learning experts to explore new technologies with an eye towards innovation and evolution of the product.

Our group offers a distinctive and prestigious alternative legal career for current lawyers which allows you to blend your passion for the law with technical know-how, eye for business, and data analysis. We are looking for innovative and energetic individuals who proactively tackle problems on a large scale while still maintaining attention to detail.

We'll trust you to:

Analyze caselaw, agency, and transactional documents becoming a legal subject-matter guide with the ability to drive technical solutions internally
Manage vendor teams to ensure quality performance and adherence to SLAs
Collaborate with fellow legal data analysts, Engineering, and *** Industry Group staff to devise creative solutions to technical challenges
Find opportunities for increased efficiency in our existing workflows and processes to make a business impact
Collaborate closely with partners to bring together requirements, scope, and develop project plans

What's in it for you:

Contribute to developing and maintaining the BLAW platform
You'll belong to a team responsible for analyzing court opinions and transactional documents on BLAW and developing our Citator product
You'll benefit from *** 's dynamic and collaborative environment and contribute to creating new technology-driven solutions for legal professionals
We'll invest in you, and coupled with our individualized approach to career development, we will help you expand your skills and opportunities

You'll need to have:

Graduated with a Juris Doctor (JD) degree from an accredited law school
Passed a state bar examination and either have been admitted, or be pending admission
Familiarity with online legal research tools. Experience with the BLAW product is a plus
Strong analytical, written, and presentation skills
Willingness to travel internationally
Legal authorization to work in the US without visa sponsorship now and in the future

We'd love to see:

Professional work experience in the legal field. Ideal candidates will have 1 to 3 years of professional work experience with a demonstrated aptitude for legal research and analysis and creative problem-solving. Judicial clerkships are a plus
A keen interest in building your technology knowledge and skills, including having a desire to learn data analysis tools, such as Excel and/or Python
Experience with process reengineering, or with improving/enhancing an existing process
Intellectual curiosity with a willingness to challenge oneself and peers to drive innovation of thought

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.

1/23

Senior Data Management Professional - Data Product Owner - 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 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.

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, Consumer

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 Consumer 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 Consumer sector. Your team will demonstrate skills ranging from deep financial modeling to semantic modeling to data engineering.

The Company Financials Consumer Team Leader is encouraged to guide their teams to think strategically, apply data management standard methodologies 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 Consumer-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 Consumer sector and product developments to define, adapt, and lead the Consumer 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 design and implement proactive data quality management supported by client-focused metrics and process observability (i.e. business intelligence) for Consumer 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 Consumer 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 fluency, and/or *** data workflows.
Experience using data visualization tools such as QlikSense and PowerBI.
Understanding of Data Governance and Data Management.
Familiarity with Consumer analytics data and available industry statistics from sources such as Industry Associations.
Region specific experience working with the Consumer sector.

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.

1/19

Senior Data Management Professional - Data Quality

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 handle our data.

A Senior Data Management Professional (DMP) is a key role within our organization responsible for optimizing our data for clients and improving our data operations. They act as technical leaders setting the strategy for data products, developing interconnected data models, crafting 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 solid background in data management.

The Data Quality team sits alongside our Business Intelligence and Process Engineering teams, empowering teams to appraise their datasets from our clients' perspective and take suitable action. We partner closely with our Product and Engineering counterparts to champion solutions that meet the data needs of our client-facing products. Primary themes in this area include being responsible for the continual refinement of the standard process principles, as well as supporting the development of the tooling and analytical solutions to measure, report on, and run data products as fit-for-purpose.

As we're growing our global footprint, you will be the first team member located in the Princeton office! While we have existing team members in London and New York City locations, having a presence in Princeton will allow our team to directly support Data Product teams. This is an excellent opportunity for a proactive, analytical, self-starter to establish themselves as a regional domain leader within our largest Data office.

We'll trust you to:

Lead global projects for a broad range of *** data products, to ensure our data products are fit-for-purpose according to client needs
Independently and proactively engage the data product teams within the Princeton office to surface collaboration opportunities and build a broader awareness and application of key data quality principles
Perform data profiling and apply statistical methodology to measure data quality, identify patterns and trends, and provide recommendations on actionable improvements
Draw connections *** ween outcome oriented data quality measurements and input process metrics to surface root cause and relationships of data
Partner with Data Product counterparts to capture measurement, reporting, das *** arding and analytical requirements to craft, produce, analyze, and deliver metrics through different analytical and visualization techniques
Partner with Engineering counterparts, providing clear business requirements, articulating business value, and collaborating on technical solutions
Keep up with the industry trends, standards, and innovation within the data quality domain, and empower colleagues across our organization to demonstrate these in their day-to-day

You'll need to have:

A BA/BS degree or higher degree preferably in a STEM subject area (e.g computer science, mathematics or engineering) or finance and economics or relevant data technology field or quantitative background
5+ years of professional experience, specifically geared towards technical business analysis and/or data management
Strong quantitative reasoning skills, and application of descriptive and inferential statistical analysis on diverse datasets
Proficiency in Python/R and SQL, or similar technologies, for hands-on data wrangling, and exploratory data analysis and hypothesis testing
A proactive posture, with a natural strive to challenge the status-quo in order to effect positive change across a large organization
Strong partner management experience at multiple levels of the organization, as part of a large change programme, with the ability to lead and contribute to multiple global projects in parallel
Applied experience within data management as a domain, with appreciation of data quality as a sub-domain of data management

We'd love to see:

Qualifications in areas such as: data management (e.g. CDMP, DCAM), project management (e.g PMP, AgilePM, Prince2), business analysis (e.g CBAP), process optimization (Six Sigma)
Experience in crafting and creating performance indicators and reporting across large organizations, using various reporting tools e.g Qlik, Tableau, Power BI
Up-to-date knowledge of financial markets, and how *** products deliver value to our clients

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.

1/6

Team Leader - Dividend Forecasting 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 apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Our Team:

The Dividend Forecasting Data team monitors and interprets major company developments to identify themes or trends affecting key market sectors. The team is responsible for providing value beyond reported data using their financial knowledge to forecast key data-points about a company that clients can use to understand the potential direction and magnitude of a company's dividend payout. The team uses their sector and regional domain expertise to generate insightful content for client consumption.

What's the Role?

As the Dividend Forecasting Data Team Leader, you will play a key role in developing and leading individuals with a diverse set of backgrounds ranging from data analysts to data management professionals. You will lead by example in understanding the financial market, dividends data, data management practices, and the broader environment in which the team operates, which are essential to guide the team successfully. To do so you will have a small portfolio of company dividends to forecast. Using your experience, you will guide your team to find opportunities to expand coverage, ensure quality and timeliness of the product, and improve processes closely with team specialists, product, and engineering. You will guide your teams to think strategically, apply data management standard methodologies to their data sets, and to deliver quality data that is ready to use and fit for purpose.

We'll Trust You To:

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 Team Leader - Supply Chain Financial Risk Modeling

Princeton, NJ Details

Full Time

*** runs on data. As a team, we use technology and industry-leading data to model the intersections *** ween companies. Our equity research driven approach uses industry and company-specific data, including fundamentals, to produce estimates and quantify upstream and downstream relationships for a company.
Our insights provide intelligence serving a variety of client-needs: for businesses, our product enables strategic decision making around purchasing and production costs, procurement expenditures, and potential exposures to customer/supplier or supply chain risks. For the investment professional, our intel provides an edge in pinpointing latent supplier disruptions and/or budgetary constraints within the customer base. The scope, magnitude, and depth of insight allows professionals to detect potential trade signals emanating from deep within a company's supply chain, informing their current or prospective portfolio holdings, and allows businesses useful information to *** ter assess their customers, suppliers, and partnerships.

The Role:

As the Team Leader, you will be hands-on in understanding the supply chain data product, data collection processes, financial modeling, and client use cases, which are critical to lead the team effectively. You will guide your team on growing data coverage, ensuring data interoperability, quality, and timeliness of the product. Using your market knowledge and familiarity with supply chain sourcing, procurement, manufacturing, and logistics you will work with your team and partners to build business opportunities and generate new supply chain risk analytics insights and/or features.

We'll trust you to:

Use your supply chain management experience to enrich our supply chain data offering
Recruit, mentor, and develop a team of analysts who are specialists and experts in their portfolio of coverage
Collaborate extensively with other data and core business groups, such as Terminal and Enterprise Product, Sales, News and Engineering to build the team's vision and strategy to generate new insights and premium content
Establish meaningful client interactions to build trust, understand their needs, and deepen relationships
Ensure team is focused on best practices in data management and data modeling to promote interoperability among datasets

You'll need to have:

3+ years' of leadership experience within a previous or current role
A bachelor's degree, preferably with combined studies in Supply Chain Management, Business, Finance or in a related field of study
Experience in the supply chain management space across sourcing, procurement, manufacturing, and logistics
Extensive supply chain network and awareness of key market players and trends
Strong understanding of the wide-ranging impact of financial and supply chain data and how financial market players use this data
Experience in building comprehensive data models that allow for data interoperability *** ween datasets
Proven implementation of industry standard processes on data quality
Proven ability to establish strong credibility and build i *** uential relationships with multiple internal and external clients and partners
Creative and flexible approach to problem solving, aided by strong data analysis skills

We'd love to see:

A Master's degree in Supply Chain Management, Finance, Business, Accounting, or Professional Certifications (CFA, etc.)
Demonstrated expertise with financial modeling, financial statements, accounting principles, and statistics
Exposure to the *** Terminal and/or Enterprise data products
Solid understanding of technologies (Python, Unix, Github, data visualization tools)
Project management skills and/or experience, preferred (CAPM, PMP and/or CSM)

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.

10/4

Data Product Owner - Fund Classification

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 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.

What's the role?

A key component of any fund's data is the classification of its investment strategy as stated by the fund manager. The Data team is looking for an individual to own this crucial area of our dataset. This person will have ownership and oversight of the process through which funds being built on the terminal are classified, reviewing the classification hierarchies currently in place, and ensuring a strategic plan for future improvements to both the process and classification data model across any applicable asset type (ie. Equity, Fixed Income etc), to ensure relevance of the product. This role will have significant impact within the overall product roadmap and will report directly to senior management. Joining the Data department means that you are a part of one of the world's leading sources of data, providing accurate, im *** te insights for financial market professionals. You will enhance your product knowledge, work closely with our clients and understand their needs, and build relationships throughout the company, all while helping our clients get access to a market leading fund data platform and maintaining an outstanding Fund classification product.

We'll trust you to:

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.