Overview: A market leading Investment Banking organisation are searching for an experienced Data Modeler to join one of their growing teams on a remote basis. Role & Responsibilities:
Develop conceptual and logical models for bank’s data (e.g Products, loans, customer, AML transaction etc.)
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 aligned to the data governance framework
Operate within a factory model, working in an iterative, high-throughput approach to deliver multiple data product models concurrently
Coordinate with onsite leadership and offshore teams to accelerate delivery and knowledge transfer
Work closely with enterprise architects, data governance leads, solution designers, and engineering teams to ensure models are understood, maintainable, and actionable
Technical Requirements:
Must have hands-on on Erwin/ER Studio tool
Must be familiar with Dimensional, 3NF, Data Vault modelling
Must be familiar with end-to-end data modelling concept.
Previous experience in conceptual/logical modelling within capital markets or investment banking with proficiency in modelling tools (Hackolade, Erwin)