Data Modeller

Job Description

We are looking for an experienced Data Modeller with a strong Investment Banking background to support complex data initiatives across trading, risk, settlements, and regulatory reporting. This is a niche, hands-on modelling role (not architecture) for someone who can work closely with business SMEs and technical teams to design robust logical and physical models.

Key Responsibilities

• Develop logical and physical data models for data warehouses, data lakes, and data marts
• Work closely with business SMEs to translate requirements into scalable data models
• Support capital markets data flows across equities, fixed income, derivatives, trade & position data
• Apply performance considerations and best practices in model design
• Use leading data modelling tools such as ERwin, PowerDesigner, ER/Studio, etc.

Must-Have Skills

• 7+ years of overall data modelling experience
• 4-5+ years dedicated to logical and physical modelling
• Strong background in Investment Banking (trading, risk, settlements, collateral, reference data, regulatory reporting)
• Hands-on experience with modelling tools (ERwin, PowerDesigner, ER/Studio or similar)
• Excellent understanding of capital markets products and data flows
• Strong SQL skills and performance-driven model design
• Ability to work effectively with business and technology stakeholders

Nice to Have

• Exposure to Azure, AWS, or GCP
• Experience with data governance, metadata, and data lineage
• Background in regulatory/risk data programmes (BCBS 239, FRTB, MiFID, etc.)

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