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- Tasks: Lead a dynamic team in designing and evolving credit data models for innovative financial solutions.
- Company: Bloomberg, a global leader in data-driven technology and analytics.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Make a real impact in the finance world by shaping data models that drive client success.
- Qualifications: 3+ years of leadership experience in data management and strong data modelling skills.
- Other info: Join a fast-paced team with opportunities for growth and innovation in the credit markets.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Team Leader – Credit Data Modelling role at Bloomberg
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.
Location: London
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.
We\’ll Trust You To
Lead and develop a high‐performing team of data modelling professionals, setting clear goals and fostering a culture of feedback, growth, and accountability.
Translate product and business requirements into a coherent modelling vision that supports interoperability across datasets and delivery platforms, while proactively engaging stakeholders to promote best data modelling practices and demonstrate their benefits to our clients.
Design and lead credit‐related data models and associated taxonomies, controlled vocabularies, and ontologies that conceptualize knowledge across multiple domains.
Partner with Product, Engineering, and SMEs to co‐design data models that balance technical feasibility of legacy implementation with evolving client needs.
Maintain and govern credit‐related data models and metadata: auditing and evolving models and fields, and defining/enforcing metadata standards, entity relationships, and schemas to ensure consistency, accuracy, discoverability, and client value.
Drive governance practices: communicate data governance requirements to stakeholders, embed robust governance processes, ensure adherence to FAIR principles, and align with Bloomberg\’s modelling standards.
Promote the practice of data modelling/ontology design and metadata management as part of the full data lifecycle across the wider Credit group, including driving workflow automation and tooling to increase scalability and resilience.
Communicate progress, priorities, and technical concepts clearly across both technical and non‐technical stakeholders.
Influence decision makers across the firm to adopt certain perspectives and align to shared standards that improve client outcomes.
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.
Discover what makes Bloomberg unique – watch our for an inside look at our culture, values, and the people behind our success.
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Team Leader – Credit Data Modelling employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Team Leader – Credit Data Modelling
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their data models and how they integrate with credit markets. This will help you speak their language and show that you're genuinely interested in the role.
✨Tip Number 3
Practice your technical skills! Brush up on data modelling concepts and be ready to discuss your experience with complex datasets. Being able to demonstrate your hands-on knowledge will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and serious about joining the team.
We think you need these skills to ace Team Leader – Credit Data Modelling
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Team Leader - Credit Data Modelling role. Highlight your experience in data modelling and team leadership, and show how your skills align with our needs at Bloomberg.
Showcase Your Leadership Skills: We want to see how you've led teams in the past! Share specific examples of how you've developed high-performing teams and fostered a culture of feedback and growth. This is key for us!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience with data governance and modelling. We appreciate directness and clarity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Bloomberg
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling skills and concepts before the interview. Be ready to discuss specific examples of how you've designed or maintained data models in the past, especially in relation to credit data. This will show that you understand the core responsibilities of the role.
✨Showcase Your Leadership Style
As a Team Leader, your ability to manage and develop a team is crucial. Prepare to share your leadership philosophy and provide examples of how you've successfully coached and mentored team members. Highlight any strategies you've used to foster a culture of feedback and accountability.
✨Communicate Clearly with Technical and Non-Technical Stakeholders
Since you'll be working with both technical and non-technical teams, practice explaining complex data concepts in simple terms. Think of examples where you've had to influence decision-makers or align cross-functional teams around a shared vision. This will demonstrate your strong communication skills.
✨Understand the Bigger Picture
Familiarise yourself with Bloomberg's products and how data modelling fits into their overall strategy. Be prepared to discuss how you can translate product and business requirements into effective data models. Showing that you can connect day-to-day tasks with broader goals will set you apart.
