Bank Of England
Leeds, Yorkshire
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. The role is split across two core areas of responsibility. 1. Develop and implement cloud based analytical solutions for FSSR. 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. 2. Build FSSR's 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 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. 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 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. 5. Lead and deliver FSSR's 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 year's 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 cross Bank 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 cross governorship and directorate alignment on cloud data tooling, model deployment and coding standards. Represent FSSR and DGFS in a range of cross Bank 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 API driven architectures. Experience with 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. Experience delivering business change and production ready 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, fast moving environments. Strong communication and stakeholder engagement skills, able to translate complex technical concepts for senior non technical audiences, influence governance and strategic decisions, and build relationships across staff. Experience 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 a central bank, financial services or complex public sector environments. Salary and Benefits Information The salary range is from £97,920 to £110,160. Non contributory, career average pension giving a guaranteed retirement benefit of 1/80th of your annual salary for every year worked, with the option to adjust the accrual rate. Discretionary performance award based on a current award pool. 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits. 26 days' annual leave with the option to buy up to 12 additional days through flexible benefits. Private medical insurance and income protection. National Security Vetting Process Employment in this role will be subject to the National Security Vetting clearance process (typically 6 12 weeks post offer) and the passing of additional Bank security checks in accordance with the Bank policy. Further information regarding the vetting and security clearance requirements for the role will be provided to the successful applicant.
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. The role is split across two core areas of responsibility. 1. Develop and implement cloud based analytical solutions for FSSR. 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. 2. Build FSSR's 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 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. 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 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. 5. Lead and deliver FSSR's 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 year's 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 cross Bank 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 cross governorship and directorate alignment on cloud data tooling, model deployment and coding standards. Represent FSSR and DGFS in a range of cross Bank 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 API driven architectures. Experience with 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. Experience delivering business change and production ready 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, fast moving environments. Strong communication and stakeholder engagement skills, able to translate complex technical concepts for senior non technical audiences, influence governance and strategic decisions, and build relationships across staff. Experience 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 a central bank, financial services or complex public sector environments. Salary and Benefits Information The salary range is from £97,920 to £110,160. Non contributory, career average pension giving a guaranteed retirement benefit of 1/80th of your annual salary for every year worked, with the option to adjust the accrual rate. Discretionary performance award based on a current award pool. 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits. 26 days' annual leave with the option to buy up to 12 additional days through flexible benefits. Private medical insurance and income protection. National Security Vetting Process Employment in this role will be subject to the National Security Vetting clearance process (typically 6 12 weeks post offer) and the passing of additional Bank security checks in accordance with the Bank policy. Further information regarding the vetting and security clearance requirements for the role will be provided to the successful applicant.
Bank Of England
Leeds, Yorkshire
Senior Data Engineer, Systems & Solutions (SaS) - MP&FS DG Division (Technology) Permanent Full time Leeds Shape the Future of Monetary Policy and Financial Stability Join the Systems & Solutions (SaS) Domain in the Monetary Policy & Financial Stability (MP&FS) DGCIO Division and be part of the Statistical Data Products Team. We enable critical processes, delivering data driven solutions that influence the nation's financial landscape. If you're excited by the power of cloud technology and want your work to make a real world impact, this is your opportunity. Opportunities in Leeds We're excited to be growing our presence in Leeds, a city we've been connected to for nearly 200 years! Our modern, accessible office in the City Centre offers a supportive, flexible working environment. The majority of roles, including this one, are now available in Leeds, giving you the chance to build a meaningful career outside of London while contributing to our mission from a dynamic and growing location. You'll work collaboratively with London based colleagues in a hybrid model, with regular opportunities to travel into the London office to meet and connect together in person. Role Requirements Are you passionate about cloud and data technologies and their potential to transform data systems? Can you unlock the full potential of cloud native tools to deliver insights? Ready to work with Azure Cloud and Databricks in a high impact environment? Join us and help shape the future of data platforms using cutting edge cloud solutions. We're looking for innovators who can harness cloud capabilities to drive smarter, faster decisions. Our Systems & Solutions Domain is evolving rapidly, and your cloud skills could be the key to our next breakthrough. Practical experience designing, building, supporting, or improving data solutions on the Azure Cloud platform. Minimum two years hands on experience working with Azure Databricks. Experience building, maintaining, and optimising Azure Data Factory pipelines, or comparable cloud based ETL solutions. Expert SQL skills for data manipulation, analysis, performance tuning, and troubleshooting. Experience in developing data solutions using Python skills. Strong working knowledge of GitHub, including branching, pull requests, merge strategies, code maintenance, security scanning and version control. Experience writing unit tests and integrating automating testing into build and deployment processes. Behaviours & Capabilities Demonstrates integrity, self motivation, curiosity, and a commitment to personal and professional development. Collaborates effectively across disciplines, communicating clearly with technical and non technical stakeholders to deliver high quality solutions. Takes ownership of delivery outcomes, contributing to code reviews, peer reviews, testing, and continuous improvement activities. Writes clean, efficient, and maintainable code, with strong awareness of performance, security, resilience, scalability, and operational supportability. Champions best practice, shares knowledge, supports team capability growth, and applies emerging tools and techniques where they deliver practical value. Additional Advantageous Experience Experience working in Agile delivery environments and collaborating within cross functional teams, using tools such as JIRA and Confluence to support planning, delivery, and knowledge sharing. A delivery assurance mindset, with the ability to build trust and confidence through clear governance, evidence based decision making, and proactive stakeholder engagement. Understanding of data modelling concepts, including logical and physical models, data lineage, and data quality considerations. Join Our Systems & Solutions Domain - Where our Systems Drive Impact At the core of our bank's digital transformation, the Systems & Solutions Domain designs, builds, and supports the data products that power smarter decisions. We're experts in turning complex business needs into elegant, high performing solutions. Our mission is to unlock the full potential of data. Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we need a workforce that reflects society we serve. 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. Salary and Benefits Information The salary on offer is £55,280 - £62,190. In addition, we also offer a comprehensive benefits package as detailed below: 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. An 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. National Security Vetting Process Employment in this role will be subject to the National Security Vetting clearance process (and typically can take between 6 to 12 weeks post offer) and the passing of additional Bank security checks in accordance with the Bank policy. Further information regarding the vetting and security clearance requirements for the role will be provided to the successful applicant, and information about how the Bank processes personal data for these purposes, is set out in the Bank's Privacy Notice.
Senior Data Engineer, Systems & Solutions (SaS) - MP&FS DG Division (Technology) Permanent Full time Leeds Shape the Future of Monetary Policy and Financial Stability Join the Systems & Solutions (SaS) Domain in the Monetary Policy & Financial Stability (MP&FS) DGCIO Division and be part of the Statistical Data Products Team. We enable critical processes, delivering data driven solutions that influence the nation's financial landscape. If you're excited by the power of cloud technology and want your work to make a real world impact, this is your opportunity. Opportunities in Leeds We're excited to be growing our presence in Leeds, a city we've been connected to for nearly 200 years! Our modern, accessible office in the City Centre offers a supportive, flexible working environment. The majority of roles, including this one, are now available in Leeds, giving you the chance to build a meaningful career outside of London while contributing to our mission from a dynamic and growing location. You'll work collaboratively with London based colleagues in a hybrid model, with regular opportunities to travel into the London office to meet and connect together in person. Role Requirements Are you passionate about cloud and data technologies and their potential to transform data systems? Can you unlock the full potential of cloud native tools to deliver insights? Ready to work with Azure Cloud and Databricks in a high impact environment? Join us and help shape the future of data platforms using cutting edge cloud solutions. We're looking for innovators who can harness cloud capabilities to drive smarter, faster decisions. Our Systems & Solutions Domain is evolving rapidly, and your cloud skills could be the key to our next breakthrough. Practical experience designing, building, supporting, or improving data solutions on the Azure Cloud platform. Minimum two years hands on experience working with Azure Databricks. Experience building, maintaining, and optimising Azure Data Factory pipelines, or comparable cloud based ETL solutions. Expert SQL skills for data manipulation, analysis, performance tuning, and troubleshooting. Experience in developing data solutions using Python skills. Strong working knowledge of GitHub, including branching, pull requests, merge strategies, code maintenance, security scanning and version control. Experience writing unit tests and integrating automating testing into build and deployment processes. Behaviours & Capabilities Demonstrates integrity, self motivation, curiosity, and a commitment to personal and professional development. Collaborates effectively across disciplines, communicating clearly with technical and non technical stakeholders to deliver high quality solutions. Takes ownership of delivery outcomes, contributing to code reviews, peer reviews, testing, and continuous improvement activities. Writes clean, efficient, and maintainable code, with strong awareness of performance, security, resilience, scalability, and operational supportability. Champions best practice, shares knowledge, supports team capability growth, and applies emerging tools and techniques where they deliver practical value. Additional Advantageous Experience Experience working in Agile delivery environments and collaborating within cross functional teams, using tools such as JIRA and Confluence to support planning, delivery, and knowledge sharing. A delivery assurance mindset, with the ability to build trust and confidence through clear governance, evidence based decision making, and proactive stakeholder engagement. Understanding of data modelling concepts, including logical and physical models, data lineage, and data quality considerations. Join Our Systems & Solutions Domain - Where our Systems Drive Impact At the core of our bank's digital transformation, the Systems & Solutions Domain designs, builds, and supports the data products that power smarter decisions. We're experts in turning complex business needs into elegant, high performing solutions. Our mission is to unlock the full potential of data. Our Approach to Inclusion The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we need a workforce that reflects society we serve. 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. Salary and Benefits Information The salary on offer is £55,280 - £62,190. In addition, we also offer a comprehensive benefits package as detailed below: 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. An 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. National Security Vetting Process Employment in this role will be subject to the National Security Vetting clearance process (and typically can take between 6 to 12 weeks post offer) and the passing of additional Bank security checks in accordance with the Bank policy. Further information regarding the vetting and security clearance requirements for the role will be provided to the successful applicant, and information about how the Bank processes personal data for these purposes, is set out in the Bank's Privacy Notice.
