Build and maintain risk data foundations and automate risk reporting. Manage data models, pipelines, and ensure data quality. Create quantitative risk models and automate reporting for consistent metrics.
Role purpose
Build and maintain the Risk data foundation (warehouse/marts + pipelines) and automate risk reporting across the Group—reducing manual spreadsheets and enabling consistent, auditable MI.
Key responsibilities
- Risk data platform: Design/maintain risk warehouse/marts integrating key sources (trading/exposure, finance/cash, operational registers, outsourcing metrics, etc. as applicable).
- Pipelines & controls: Build ETL/ELT with monitoring, logging, access controls, and data quality checks (completeness, reconciliations, exception handling, lineage).
- Data Model: iterate over the canonical data model to maintain a high level of adaptability to the business model.
- Report automation: Automate recurring MI (mark-to-market, daily reports, stress tests, wind-down plan metrics where applicable) and enable self-serve dashboards.
- Definitions & governance: Maintain metric definitions, documentation, and change logs so MI is regulator/audit ready.
- Delivery collaboration: Translate Risk requirements into data products, manage a delivery backlog, iterate with stakeholders.
- Quantitative modelling: Create and maintain quantitative risk models that produce outputs for liquidity and risk management.
Key deliverables
- Risk data warehouse/marts + documented datasets; scheduled pipelines with alerts
- Automated MI packs/dashboards with reconciliation checks
- Data dictionary/lineage + access controls; reduction plan for manual reporting
Requirements
Experience / skills
- Strong SQL + Python; data warehousing; robust production pipelines; BI tooling experience; disciplined documentation; comfortable in regulated environments.
Success measures
- Reliable automated MI; fewer manual touchpoints; consistent cross-entity reporting; fast answers to “what’s our exposure / what changed / what’s breached?” with trusted data.
Benefits
Competitive Salary
Annual Bonus
Private Medical
Top Skills
Python
SQL
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