Data Modeler

Job Description – Data Modeller – Investment Banking

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.)