Scovai
Head of Data & Risk Analytics — Banking
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Head of Data & Risk Analytics
We are conducting a confidential search for a Head of Data & Risk Analytics to lead the data science and quantitative risk function for a banking organisation based in Edinburgh, working hybrid.
Edinburgh remains one of Europe's deepest banking and financial services centres, and this is a director-level opportunity for a leader who can sit at the intersection of data science, credit risk, and regulatory reporting.
Role Overview
In this role, you will:
- Own the roadmap for credit risk and IRB model development.
- Lead the build-out of data pipelines and feature infrastructure feeding capital and provisioning models.
- Direct model performance monitoring and back-testing across the risk model estate.
- Work closely with the CRO's office on Basel III/IV capital calculations, IFRS 9 provisioning, and PRA regulatory reporting, ensuring model methodology and documentation meet supervisory expectations.
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Responsibilities
- Build and lead a team of data scientists, quantitative analysts, and risk modellers.
- Present model risk and portfolio analytics to the Board Risk Committee.
- Champion responsible use of machine learning within a heavily regulated model risk governance framework (SS1/23, SR 11-7 equivalents).
- Drive the modernisation of the bank's risk data architecture and stress-testing infrastructure.
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Nice to Have
- Experience with PRA/FCA regulatory engagement on model risk or capital models
- Background in IRB credit risk model development and validation
- Advanced degree in a quantitative discipline (Statistics, Econometrics, Mathematics)
- Experience modernising legacy risk data infrastructure onto cloud platforms
- Track record presenting to board-level risk committees
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