Responsibilities
- Develop conceptual and logical models for investment-bank data concepts (e.g., client and counterparty, products and instruments, trade and transactions, positions, risk and finance, market data, collateral data)
- Align all models to a common modelling language, naming conventions, and reusable patterns to ensure consistency across products
- Ensure each data product model provides a clear, actionable bridge between business requirements and upstream authoritative data sources
- Facilitate structured sessions with SMEs and data office to validate definitions, resolve discrepancies, and capture requirements
- Define and embed modelling standards, metadata requirements, and quality controls
- Work closely with enterprise architects, data governance leads, solution designers, and engineering teams to ensure models are understood, maintainable, and actionable
Requirements
- Previous experience in conceptual/logical modelling within capital markets or investment banking with proficiency in modelling tools (Hackolade, Erwin)
Remote Status:
Not specified
Industry:
Data & Analytics
Seniority Level:
Not Specified