Head of Data & Risk Analytics — Banking

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.

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, and direct model performance monitoring and back-testing across the risk model estate. You will 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.

You will build and lead a team of data scientists, quantitative analysts, and risk modellers, present model risk and portfolio analytics to the Board Risk Committee, and champion responsible use of machine learning within a heavily regulated model risk governance framework (SS1/23, SR 11-7 equivalents). You will also drive the modernisation of the bank's risk data architecture and stress-testing infrastructure.

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