Data Modeler

Our client, a top global organization, is looking for a Data Modeller with strong Commercial / Corporate Lending domain expertise to join a large-scale cloud data transformation programme within Financial Services. This is a hands-on role where you will shape the data foundations supporting lending, risk, and regulatory reporting across a modern cloud and lakehouse architecture. You’ll lead data modelling activities across Commercial Lending domains, ensuring that business processes, regulatory obligations, and downstream analytics requirements are accurately reflected in scalable, high-quality data models.

You’ll work closely with Lending SMEs, Credit Risk, Finance, Data Engineering, and Governance teams to deliver enterprise-grade data assets in a cloud environment.

• Develop and maintain conceptual, logical, and physical data models
• Loans, Facilities, Drawdowns
• Collateral, Covenants, Security structures
• Exposure, Repayments, Party hierarchies
• Translate complex business requirements into reusable and scalable data structures
• Embed data quality rules, lineage, and governance standards
• Support regulatory reporting requirements including:
• IFRS9
• PRA / EBA returns
• BCBS 239
• Design models suited for cloud and lakehouse environments (S3, Iceberg, Delta, Hudi)
• Collaborate with Data Engineers to ensure effective implementation in Bronze/Silver/Gold (Medallion) layers
• Maintain documentation, glossaries, and modelling standards
• Strong hands-on experience in conceptual, logical, and physical data modelling
• Deep understanding of Commercial Lending domain concepts
• Syndications, bilaterals, exposure, accruals
• Collateral and covenant structures
• Experience with regulatory data frameworks (IFRS9, BCBS 239)
• Strong SQL
• Experience modelling for cloud data platforms

• Experience with LoanIQ
• AWS / Snowflake / Redshift / Lakehouse exposure
• Knowledge of Kimball or Inmon methodologies

If this is relevant to your experience, please apply with your CV and we’ll be in touch.