Team Leader – Credit Data Modelling

Bloomberg; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global financial data and analytics firm in London is seeking a hands-on leader for their Credit Data Modelling team. The role involves leading data modelling professionals, enhancing data governance, and ensuring delivery of impactful data solutions. Ideal candidates have over 3 years in team leadership and a strong background in data modelling, especially within the financial or credit markets.

Qualifications

• 3+ years of experience leading high-performing teams.
• Strong background in data modelling and metadata design.
• Proven ability to work with complex datasets.
• Strong communication skills to influence cross-functional teams.
• Technical fluency in data guiding discussions.

Responsibilities

• Lead and grow the Credit Data Modelling team.
• Coach and mentor team members connecting tasks with strategy.
• Champion data governance and alignment with best practices.

Skills

Team leadership

Data modelling

Communication skills

Technical fluency with data

Collaboration with teams

Job description

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.

The Team

The Credit Data Modelling team sits at the core of our Fixed Income Data business, responsible for designing and maintaining the data models that underpin the discovery, integration, and analysis of credit-related datasets. The team’s current focus is on corporate bonds within the wider credit space, with scope to expand into broader areas of the credit markets. The team partners closely with Product, Engineering, Ontologists, and Fixed Income subject matter experts to build scalable and interoperable data solutions that enable clients to navigate the complexity of credit markets with confidence.

What’s the Role?

We’re looking for a strong hands-on people leader to manage and grow the Credit Data Modelling team. In this role, you’ll be responsible for leading a team of data modelling professionals who design, govern, and evolve the data structures supporting Bloomberg’s credit data products. You’ll coach and mentor team members, connecting day-to-day modelling tasks with our broader product strategy. You’ll also provide hands-on guidance, lead technical discussions, and give direction and feedback to ICs in the team. Finally, you’ll champion data governance, automation, and alignment with industry best practices to ensure the delivery of a robust and future-proof data model.

You’ll Need to Have:

• 3+ years of experience leading and developing high-performing teams, ideally within data management, modelling, or related fields.
• Strong background in data modelling, metadata design, or semantic data structures.
• Proven ability to work with complex, heterogeneous datasets and convert them into harmonized, queryable formats — for example, unifying disparate datasets into a single schema, normalizing multiple vendor feeds into a harmonized model, or developing pipelines that reconcile internal and external sources into queryable formats for analytics.
• Strong communication skills, with experience influencing and driving alignment across cross-functional teams.
• Technical fluency in working with data, with the ability to provide hands-on guidance, lead technical discussions, and advise on tradeoffs and best practices.
• Experience collaborating with Product and Engineering teams to deliver impactful data solutions.

We’d Love to See:

• Exposure to fixed income or financial datasets (especially within credit markets).
• Familiarity with semantic web or knowledge graph concepts and their application in modelling.
• Experience with data cataloging, metadata governance, or data discovery platforms.
• Understanding of data governance frameworks or certifications (e.g., DAMA CDMP, DCAM).
• Prior experience building scalable automation pipelines for data validation and model maintenance.