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**Senior Manager, Data Science & AI, FSSR** Drive data science and AI strategy across Financial Stability Strategy and Risk directorate. Lead cross-FSSR analytical projects, deploy latest tools, and migrate large datasets to cloud. Key responsibilities include leading data science team, delivering policy projects, and upskilling staff. Requires advanced data science expertise, cloud-based technology experience, and proven leadership in delivering business change.
- Compensation
- £97,920 – £110,160 GBP
- City
- Leeds
- Country
- United Kingdom
Currency: £ (GBP)
Full Job Description
Location: Leeds, United Kingdom
Senior Manager, Data Science & AI, FSSR
Location: Leeds
Financial Stability Strategy and Risk (FSSR)
The Banks 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).
Job description
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 help delivery of data science-driven and AI-driven analytics in FSSR. This is an exciting opportunity to play a key role in modernising 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. Its a fast-changing space where the foundations are being laid for how the Bank operates in future. The person who takes on this role will have a real opportunity to shape how things are done, making a big difference now and in influencing the vision for the future.
The role is split across two core areas of responsibility.
First, the successful role holder will be responsible for leading analytical projects deploying the latest data science and AI tools. The role brings opportunities to bring together analysts and data scientists from across FSSR to deliver analytical solutions, share knowledge and promote best practice.
Second, the role holder will also be responsible for leading and steering FSSRs Data & AI strategy, ensuring that strategic workstreams are progressing effectively and delivering against agreed objectives. This includes developing and implementing data science and AI capabilities across the area and ensuring a smooth transition of the areas large datasets and models onto cloud.
As part of that, the role holder will be the Lead Data Scientist across FSSR and responsible for the professional development of the pool of data scientists that sit in different divisions across FSSR. In addition, they will also bring together the much larger pool of analysts interested in developing their data science and AI skills, and fostering an active network and community across FSSR.
More on specific roles and responsibilities below.
Roles and Responsibilities
1. Develop & implement cloud based analytical solutions for FSSR.
- Finalise FSSRs roadmap for cloud adoption and ensure there is a smooth transition of FSSRs large transaction-level datasets and models onto the Banks Cloud by aligning with the Banks broader cloud timelines.
- Oversee the design of endtoend lifecycle of data pipelines supporting FSSR needs. Ensure solutions and architecture align to the Banks 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.
2. Build FSSRs AI and data science capabilities.
- 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).
3. Provide leadership of key policy projects deploying the latest data science and AI tools.
- 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 a 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.
4. As Lead Data Scientist in FSSR, support the professional development of staff.
- 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 skillsets. 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 FSSRs 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 nonspecialists with the skills to use data and AI effectively in their roles.
5. Lead and deliver FSSRs Data & AI strategy as part of the broader DGFS agenda
- Lead and deliver the strategy for how data science and AI can support financial stability analysis in FSSR. For example, this years priorities include planning cloud migration, driving automation leveraging data science/AI tools, upskilling staff, closing data gaps and streamlining data collection.
- Engage with seniors and staff to understand their needs and ensure solutions are aligned and effective.
- Act as the primary technical contact for DAT, Technology and crossBank initiatives related to AI, cloud platforms, data engineering and analytical tooling. And seek to influence bank-wide strategy on these initiatives.
- Act as the senior manager representative on the DGFS Data & Analytics Group. Shape crossgovernorship and directorate alignment on cloud data tooling, model deployment and coding standards.
- Represent FSSR and DGFS in a range of crossBank communities on cloud, data science tools and AI.
Role Requirements
Minimum criteria
- Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R.
- Strong understanding of cloud-based technologies and solutions (Azure and Databricks preferred), DevOps practices and APIdriven architectures.
- Experience of large language models (LLMs), generative AI technologies including AI agents and their practical applications.
- Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy.
Essential criteria
- Experience delivering business change and productionready pipelines through new data and technology systems. A strong understanding of organisational data and AI transformation.
- Ability to lead multidisciplinary technical projects and teams, with the ability to set strategy and technical direction, manage staff during a project and deliver results in ambiguous, fastmoving environments.
- Strong communication and stakeholder engagement skills, able to translate complex technical concepts for senior nontechnical audiences, influence governance and strategic decisions, and build relationships across staff.
Desirable Criteria
- Experience of building cloud-based analytical solutions and delivering the implementation of a new data platform and analytics capabilities within a large or complex organisation.
- Experience working within central bank, financial services or complex publicsector environments.
At the Bank of England, we want all colleagues to feel valued and respected, so we're working hard to build an inclusive culture which supports people from all backgrounds and communities to be at their best at work. We celebrate all forms of diversity, including (but not limited to) age, disability, ethnicity, gender, gender identity, race, religion, sexual orientation and socioeconomic status. We believe that its by drawing on different perspectives and experiences that well continue to make the best decisions for the public.
- Currently a non-contributory, career average pension giving you a guaranteed retirement benefit of 1/80th of your annual salary for every year worked. There is the option to increase your pension (to 1/65th) or decrease (to 1/105th) in exchange for salary through our flexible benefits programme each year. The Bank has the discretion to vary standard accrual rates and dial up and dial down rates at any time and to withdraw dial up and dial down options at any time.
- A discretionary performance award based on a current award pool.
- An 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits.
- 26 days annual leave with option to buy up to 12 additional days through flexible benefits.
- Private medical insurance and income protection.
The Bank of England welcomes applications from all candidates, but as a UK Visas and Immigration (UKVI) approved sponsor, we have a responsibility to comply with the Immigration Rules and guidance. As such, our ability to employ individuals who require sponsorship for immigration purposes is limited. The Bank cannot guarantee that you and / or the role you are applying for will be eligible for sponsorship and that any application made to UKVI will be successful. Eligibility will therefore be considered on a case by case basis.
