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- Tasks: Lead a team to design and maintain credit data models for Bloomberg's products.
- Company: Join Bloomberg, a leader in financial data and analytics.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make an impact in the finance world by shaping data solutions that empower clients.
- Qualifications: 3+ years of leadership experience in data management and strong data modelling skills.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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 relevant meetups, and engage with professionals on platforms like LinkedIn. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by researching the company and its products thoroughly. Understand their data models and how they integrate into the credit markets. We want you to show that you’re not just interested in the role, but that you’re genuinely excited about what they do!
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle case studies or technical questions during interviews. We recommend simulating these scenarios with friends or mentors to build your confidence and showcase your analytical abilities.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way in leaving a positive impression. We believe it shows your enthusiasm and professionalism, which can set you apart from other candidates.
We think you need these skills to ace Team Leader – Credit Data Modelling
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! We want to see how you connect with the world of credit data modelling and how your experience aligns with our mission at Bloomberg.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Team Leader role. Highlight your leadership experience and any relevant projects that showcase your skills in data modelling and team management. We love seeing how you can fit into our culture!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications.
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 ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Bloomberg
✨Know Your Data Models
Make sure you brush up on your knowledge of data modelling, especially in the context of credit markets. Be prepared to discuss how you've designed or maintained data models in the past and how they can support interoperability across datasets.
✨Showcase Your Leadership Skills
As a Team Leader, you'll need to demonstrate your ability to lead and develop high-performing teams. Think of examples where you've coached team members or fostered a culture of feedback and growth. Be ready to share how you set clear goals and hold your team accountable.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to engage both technical and non-technical stakeholders. Prepare to discuss how you've influenced decision-makers in previous roles.
✨Understand Governance Practices
Familiarise yourself with data governance frameworks and best practices. Be ready to talk about how you've implemented governance processes in the past and how you would ensure adherence to standards like FAIR principles in your new role.