Senior Data Management Professional Data Modeling Credit Data
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Job Summary
Senior Data Management Professional - Data Modeling - Credit Data
Location
London
Business Area
Data
Ref #
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 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 evolving and maintaining the data models that underpin the discovery integration and analysis of credit-related datasets. The team supports both established production-critical data model implementations ensuring their ongoing evolution quality and maintainability and newer more exploratory technical approaches.
In parallel the team is focused on developing novel modelling paradigms including knowledge graphs and semantic data models to support emerging AI-driven applications and evolving query patterns. 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 today and in the future.
Whats the Role
Were looking for a strong hands-on individual contributor to join the Credit Data Modelling this role youll play a key part in designing governing and evolving the data structures that support Bloombergs credit data products. Youll work with both existing data model implementations that power Bloombergs credit data offering today as well as the design and development of next-generation semantic and graph-based models aimed at supporting AI-driven use cases and advanced analytics.
Youll work on a wide range of data modelling challenges contribute to technical and design discussions and help connect day-to-day modelling work with broader product and data strategy. As a senior member of the team youll act as a subject matter expert in credit data modelling partnering closely with Product Engineering Ontologists and Fixed Income experts. Youll help drive best practices in data governance automation and modelling standards ensuring the delivery of robust scalable and future-proof data models.
Well Trust You To:
- Design evolve and maintain credit-related data models and associated taxonomies controlled vocabularies and ontologies covering both established production implementations and newer semantic and graph-based approaches
- Translate product and business requirements into well-structured interoperable data models and metadata solutions that work across datasets and delivery platforms
- Partner closely with Product Engineering and SMEs to co-design data models that balance legacy constraints with evolving client needs and emerging use cases
- Maintain and govern credit-related data models and metadata by auditing and evolving models and fields
- Apply and promote strong data governance practices including adherence to FAIR principles and alignment with Bloombergs modelling standards
- Contribute to workflow automation tooling and scalable processes that improve the resilience quality and maintainability of our data
- Participate actively in technical discussions reviews and design forums providing thoughtful input and guidance on tradeoffs and best practices
- Communicate technical concepts progress and priorities clearly to both technical and non-technical stakeholders
- Act as an advocate for high-quality data modelling and metadata management across the wider Credit group
Youll Need to Have:
- 4 years of professional work experience in data modelling metadata design or semantic data structures with the ability to work across both established production models and evolving modelling approaches
- 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 reconciling internal and external sources for analytics
- Experience collaborating closely with Product and Engineering teams to deliver impactful data solutions
- Strong communication skills with the ability to explain modelling decisions and influence alignment across cross-functional teams
- Technical fluency working with data including the ability to reason about tradeoffs scalability and best practices in data design
Wed Love to See:
- Exposure to fixed income or financial datasets particularly within credit markets
- Familiarity with semantic or knowledge graph concepts and their application in data 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 or contributing to automation pipelines for data validation quality checks or model maintenance
If this sounds like you:
Apply! If you think were a good match. Well get in touch to let you know the next steps!
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Required Experience:
Senior IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
