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Team Leader - Capital Structure Data

Bloomberg L.P.

City Of London

On-site

GBP 70,000 - 90,000

Full time

Today
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Job summary

A leading financial data company in London is seeking a Team Leader for Capital Structure Data. The ideal candidate will have over 3 years of experience in data management within financial markets and strong skills in Python and SQL. Responsibilities include leading a dedicated team, ensuring data quality, and collaborating with various departments. This role offers a chance to impact decision-making in the finance industry. Competitive compensation and inclusive culture included.

Benefits

Diversity and inclusion programs
Flexible work arrangements

Qualifications

  • 3+ years leading teams or significant experience as a senior data specialist.
  • Solid experience working with financial data—ideally within fixed income markets.
  • Hands-on background in data quality, data design, or engineering workflows.

Responsibilities

  • Lead, mentor, and grow a team of data management professionals focused on delivering high-quality, time-sensitive financial data.
  • Drive collaboration with key partners across Product, Sales, News, and Engineering.
  • Champion data governance, quality controls, and process transparency through client-centric metrics.

Skills

Leadership
Data quality
Data analysis
Python
SQL
Tableau

Tools

ETL
Job description

Team Leader - Capital Structure Data

Location: London

Business Area: Data

Ref #: 10045302

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.

Overview

Our Team: We build data products that help clients navigate the evolving credit landscape, especially in areas like Loans, Private Credit, and Capital Structure. By bringing together insights from multiple sources, we deliver high-impact datasets that support decision-making in markets where transparency is limited.

Our Capital Structure data is important to credit risk analysis, giving clients a full view of a corporate group’s financial architecture, maturities, payment waterfalls, guarantees and recourse. This is especially critical in high-yield and leveraged markets, where accurate data underpins financials, valuations and credit decisions. With our recent expansion into Loans indices, expectations for precision and depth continue to grow.

Responsibilities

The Capital Structure Team is looking for a driven Team Leader to oversee the data management, quality, and processes behind our core dataset. You'll lead a team of data professionals with diverse expertise, guiding them to apply best practices and deliver accurate, client-ready data. This role demands strategic thinking, strong execution, and the ability to foster a high-performing, inclusive culture. Success will rely on close collaboration with Engineering, Product, Enterprise, and other key partners.

We’ll Trust You To
  • Lead, mentor, and grow a team of data management professionals focused on delivering high-quality, time-sensitive financial data

  • Drive collaboration with key partners across Product, Sales, News, and Engineering to deliver impactful, client-ready data

  • Champion data governance, quality controls, and process transparency through client-centric metrics

  • Guide team development in data modeling and ETL, working closely with Engineering to build scalable, multi-product data solutions

  • Establish and enforce standards to ensure data meets SLAs and supports exceptional client service

  • Build subject matter expertise and stay ahead of industry trends to identify gaps and innovation opportunities

  • Collaborate globally to enhance workflows, ensuring consistent, efficient data quality across products and regions

You’ll Need to Have
  • 3+ years leading teams or significant experience as a senior data specialist

  • Solid experience working with financial data—ideally within fixed income markets

  • Hands-on background in data quality, data design, or engineering workflows

  • Strong analytical skills and comfort using tools like Python, SQL, or Tableau

  • Clear and confident communicator, able to connect team goals to business outcomes

  • Deep understanding of fixed income credit, including how market trends impact risk and valuation

  • Experience working with large and complex datasets

  • Ability to use both quantitative and qualitative insights to drive strategy

  • Strong relationship-building skills across technical and commercial teams

We’d love to see
  • Strong connections or experience within the Private Credit and/or Loan industry

  • Background in client-facing roles such as sales support, client service, or marketing in Private Credit

  • Deep understanding of how financial data drives decisions across the business

  • Proven track record delivering data-driven transformation—such as advanced data modeling, automated workflows, or data quality and governance initiatives

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 amer_recruit@bloomberg.net

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