Head of Markets Trade Data Models

The Head of Trade Data Modelling is accountable for defining, governing, and evolving the Investment Bank’s canonical data schemas, ensuring that business meaning, regulatory intent, and technical implementation remain consistently aligned across platforms, products, and regions.

The role acts as the accountable owner for IB-wide trade data model and leadership driving standardisation of data representation, bridging business data definitions, regulatory requirements, and engineering delivery.

This role is a critical control point for model-driven governance, supporting regulatory defensibility, platform rationalisation, and scalable data product delivery.

Key responsibilities:

• Own the IB canonical trade data schemas, including relationship with core subject areas including client, product, transaction, reference, and risk data models, aligned to Group standards where applicable.
• Enforce IB data modelling standards, patterns, and conventions (conceptual → logical → physical).
• Lead trade data, including approvals for schema changes and domain extensions.
• Ensure schemas explicitly support regulatory reporting, controls, and evidencing, including clear lineage from business definition to physical implementation.
• Partner with Risk, Compliance, Finance, and Legal to ensure schema decisions are regulatorily defensible and auditable.
• Embed schemas into the delivery lifecycle, ensuring alignment between models, code, interfaces, and deployed data products.

Key required skills:

• Strategic thinking, leadership and influence across a matrix environment
• Deep, hands‑on experience in trade domain data modelling (conceptual, logical, physical).
• Strong understanding of IB trade schema modelling, and physical schema payload, implementation and controls
• Proven experience operating at scale in complex, regulated financial services environments.
• Demonstrated ability to design and operate data governance frameworks that are practical and delivery‑aligned.
• Experience balancing federation and standardisation without stifling delivery.
• Experience with model‑driven engineering, schema registries, or metadata‑driven platforms.
• Familiarity with financial services standards (e.g. ISO 20022, FpML, FIX, BCBS 239 concepts).

To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders.

• Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan.
• Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value‑driven data usage.
• Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information.
• Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress.
• Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access.
• Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports.
• Monitoring applicable regulatory standards and industry developments for potential impact on the…