Senior Manager, Data Science & AI, FSSR

Financial Stability Strategy and Risk (FSSR)

The Bank’s Financial Stability Strategy and Risk (FSSR) Directorate is responsible for producing analysis to help the Financial Policy Committee (FPC) assess the resilience of the UK financial sector and develop policy solutions to ensure UK financial stability. Examples of our work are in our Financial Stability Reports. FSSR sits within the broader Deputy Governorship for Financial Stability (DGFS).

We are looking for an experienced data scientist to lead and help deliver an ambitious agenda on data science and AI across the directorate. This is a new cross‑directorate role and will support the delivery of data science‑driven and AI‑driven analytics in FSSR. It provides an exciting opportunity to modernise our use of data and analytics to support financial stability analysis, working in conjunction with the relevant analytical divisions within the directorate.

You will be given a platform and a mandate to drive that agenda, not just in FSSR, but Bank‑wide.

• Finalise FSSR’s roadmap for cloud adoption and ensure a smooth transition of FSSR’s large transaction‑level datasets and models onto the Bank’s Cloud by aligning with the Bank’s broader cloud timelines.
• Oversee the design of end‑to‑end lifecycle of data pipelines supporting FSSR needs. Ensure solutions and architecture align to the Bank’s Technology Target Operating Model.
• Lead the development of cloud‑based analytical and AI products, including dashboards. Partner with divisions across FSSR to create accessible and integrated dashboards that monitor financial stability vulnerabilities.

• Lead the design and deployment of LLM and data science tools to support the analytical work of the directorate.
• Lead the FSSR automation and innovation agenda, including the development and adoption of AI‑enabled tools and agents to improve efficiency and analytical capability.
• Embed best practices in coding, modelling and documentation across divisions in the area.
• Embed AI principles to ensure responsible AI usage is embedded in the directorate (governance, explainability, auditability, safety).

• Act as senior data scientist on key policy projects, driving delivery through others and ensuring policy‑relevant analytical insights. For example, current projects in FSSR include setting up an LLM tool that extracts supervisory intelligence and setting up a dashboard of core financial stability vulnerability metrics.
• Provide senior technical leadership and advice across a range of projects in the area, including policy projects and innovation experiments.

• Provide leadership to the small but growing pool of data scientists across divisions, acting as a senior mentor and technical authority. Through a matrix management model, support practitioners’ objectives and professional career development. Over time, there may also be opportunities to line‑manage staff including on key projects.
• Provide technical support and guidance to a broader pool of analysts, to support the development of their data science and AI skill sets. This includes coaching on applying new methodologies, tools, and delivery challenges.
• Strengthen the existing FSSR staff data science and AI networks and establish a mechanism for coordinating delivery of FSSR’s strategic priorities. Embed best practices in coding, modelling and documentation across divisions in the area while fostering a supportive community.
• Drive data science and AI capability across the directorate by delivering structured training that equips both specialists and non‑specialists with the skills to use data and AI effectively in their roles.

• Lead and deliver the strategy for how data science and AI can support financial stability analysis in FSSR. For example, this year’s…