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
Head of Data & Risk Analytics — Banking in Edinburgh employer: Scovai
As a leading banking organisation in Edinburgh, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to engage with senior leadership, ensuring that our team members thrive in their careers while contributing to impactful projects in the financial sector. With a hybrid working model and a focus on modernising risk analytics, we offer a unique environment where data-driven insights shape the future of banking.
