Team Leader - Loans Data

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 Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.

What’s the role?

The Loans Team is looking for a highly motivated and driven Team Leader to cover the data management, data quality and data processes that drive our Loans product. 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 across regions and products 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

Bachelor's degree, preferably in STEM, Economics, a quantitative social science, or related business field

Market data experience in the financial services industry, including exchanges, market data providers or financial institutions

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

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

Deep understanding of fixed income credit, focusing on syndicated loans

Ability to spot market trends and act on them to enhance depth and breadth of coverage

Experience working with large datasets to quantify trends impacting the industry

Ability to demonstrate qualitative and quantitative evidence to drive commercial decisions

Use statistics and data visualization skills to report on results of ongoing operations and projects, as required

Strategic vision to align team goals around providing outstanding service to the business and other internal/external clients, and the ability to implement a business and people strategy which delivers on that vision

Proven ability to establish strong credibility and build influential relationships with multiple internal and external partners

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

Strong understanding of the multifaceted impact of financial data

Past delivery on digital transformation involving advanced data model design, automated ETL workflows, data quality or governance control

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!

Bloomberg 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.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email