Design and maintain risk data foundation, automate risk reporting, and create quantitative risk models. Strong SQL and Python skills required. Experience with data warehousing and BI tooling a plus.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
5 days on site- Eu citizens open for relocation to Malta
Build and maintain the Risk data foundation (warehouse/marts + pipelines) and automate risk reporting across the company—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
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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
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Requirements
Experience / skills
- Strong SQL + Python; data warehousing; robust production pipelines; BI tooling experience; disciplined documentation; comfortable in regulated environments
- Masters degree
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