{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Modeler”, “description”: “
Data Modeler – Contract – London, UK
Responsibilities
- Develop conceptual and logical models for bank data such as products, loans, customers, AML transactions.
- Develop conceptual and logical models for investment banking data concepts (client and counterparty, products and instruments, trades 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 the data office to validate definitions, resolve discrepancies, and capture requirements.
- Define and embed modelling standards, metadata requirements, and quality controls aligned with the data governance framework.
- Operate within a factory model, delivering multiple data product models concurrently in an iterative, high‑throughput approach.
- 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.
Qualifications
- Hands‑on experience with Erwin/ER Studio.
- Experience with dimensional, 3NF, and Data Vault modelling.
- Familiarity with end‑to‑end data modelling concepts.
- Prior experience in conceptual/logical modelling within capital markets or investment banking.
- Proficiency in modelling tools such as Hackolade and Erwin.
- Investment banking experience preferred; broader banking knowledge is desirable.
Company: TEKsystems
Location: London
Job Description:
Data Modeler – Contract – London, UK
Responsibilities
- Develop conceptual and logical models for bank data such as products, loans, customers, AML transactions.
- Develop conceptual and logical models for investment banking data concepts (client and counterparty, products and instruments, trades 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 the data office to validate definitions, resolve discrepancies, and capture requirements.
- Define and embed modelling standards, metadata requirements, and quality controls aligned with the data governance framework.
- Operate within a factory model, delivering multiple data product models concurrently in an iterative, high‑throughput approach.
- 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.
Qualifications
- Hands‑on experience with Erwin/ER Studio.
- Experience with dimensional, 3NF, and Data Vault modelling.
- Familiarity with end‑to‑end data modelling concepts.
- Prior experience in conceptual/logical modelling within capital markets or investment banking.
- Proficiency in modelling tools such as Hackolade and Erwin.
- Investment banking experience preferred; broader banking knowledge is desirable.
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Posted: May 20th, 2026