Jobs and Careers
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Team Leader - Private Credit Data
BloombergUnited Statesfull_timeVerifiedPosted 25 Jul 2025
💰 $230,000/yr($135,000/yr – $230,000/yr)
About the role
Team Leader - Private Credit Data
Location
Skillman
Business Area
Data
Ref #
10045015
Our Team:Our teams operate at the forefront of Fixed Income innovation, building and maintaining data products that power credit and risk workflows across institutional finance. Our teams globally oversee a suite of high-impact datasets and tools spanning Loans, Private Credit, and Capital Structure analytics—each critical to the evolving needs of our clients.
We aggregate comprehensive data across Private Credit including Direct Lending Loans by combining insights from news, public filings and direct contributions from involved parties. Our focus on Business Development Companies (BDCs) contributes to the Direct Lending Environment (DLEN)—the first-of-its-kind function for monitoring direct lending trends. Our datasets provide visibility into issuance, pricing, non-accruals, and defaults—delivering essential signals for valuation, RV, credit risk modeling, and index construction in a market segment that has traditionally lacked transparency. Our mission is to enable clients to navigate the complex and opaque world of credit markets with clarity, precision, and confidence. We are continuously investing in our data tools and infrastructure, sourcing strategies, and domain expertise to stay ahead of market needs.
What’s the role?The Private Credit Team is looking for a highly motivated and driven Team Leader to cover the data management, data quality and data processes that drive our dataset. You will play a critical role in developing and leading a team of data professionals with diverse experience and expertise spanning across several functions and subject matter areas. You will guide your teams to think strategically, apply data management best practices to their data sets, and to deliver quality data that is ready to use and fit for purpose. You are also expected to drive and instill a dynamic culture, as well as proactively champion inclusive behavior by building a safe environment where differences are recognized, respected and able to thrive. In doing so, you’ll build a close partnership with Engineering, Product, Enterprise and other departments.
We'll Trust You To:
Description & Requirements
Bloomberg 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:Our teams operate at the forefront of Fixed Income innovation, building and maintaining data products that power credit and risk workflows across institutional finance. Our teams globally oversee a suite of high-impact datasets and tools spanning Loans, Private Credit, and Capital Structure analytics—each critical to the evolving needs of our clients.
We aggregate comprehensive data across Private Credit including Direct Lending Loans by combining insights from news, public filings and direct contributions from involved parties. Our focus on Business Development Companies (BDCs) contributes to the Direct Lending Environment (DLEN)—the first-of-its-kind function for monitoring direct lending trends. Our datasets provide visibility into issuance, pricing, non-accruals, and defaults—delivering essential signals for valuation, RV, credit risk modeling, and index construction in a market segment that has traditionally lacked transparency. Our mission is to enable clients to navigate the complex and opaque world of credit markets with clarity, precision, and confidence. We are continuously investing in our data tools and infrastructure, sourcing strategies, and domain expertise to stay ahead of market needs.
What’s the role?The Private Credit Team is looking for a highly motivated and driven Team Leader to cover the data management, data quality and data processes that drive our dataset. You will play a critical role in developing and leading a team of data professionals with diverse experience and expertise spanning across several functions and subject matter areas. You will guide your teams to think strategically, apply data management best practices to their data sets, and to deliver quality data that is ready to use and fit for purpose. You are also expected to drive and instill a dynamic culture, as well as proactively champion inclusive behavior by building a safe environment where differences are recognized, respected and able to thrive. In doing so, you’ll build a close partnership with Engineering, Product, Enterprise and other departments.
We'll Trust You To:
- Recruit, mentor, and develop a team of domain experts and data management professionals through processing time-sensitive, high-quality financial data, data analysis, and project management
- 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
- Design and implement proactive data quality and data governance 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 re-engineer the workflow and operating procedures to ensure high efficiency and consistency in data quality acr
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