The Monetary Policy Transformation Directorate
The Monetary Policy Transformation (MPT) Directorate was set up to lead a major project, responding to external advice on how the Bank of England can improve the way it supports monetary policy. The main goal is to help set and explain monetary policy more clearly, so the UK economy can achieve better results. MPT works closely with the Monetary Analysis (MA) Directorate, which provides expert analysis and advice to help the Monetary Policy Committee (MPC) decide how to keep inflation under control.
Monetary Policy Processes Division (MPPD)
MPPD is a new group built as part of the MPT project. We are responsible for designing and overseeing the processes that support monetary policy setting, working in conjunction with the relevant analytical divisions and areas. This means developing organisational and technology-based solutions that ensure that MPC decision-making is supported in the most effective and efficient way on a sustained basis.
Job description
We are looking for an experienced data scientist leader to head our new Data Science and Engineering Team and help shape the strategic direction and delivery of data science across monetary policy. This is an exciting opportunity to build and lead a high-performing team and play a key role in modernising our use of data and analytics to support the MPC. 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 the future. As the senior manager you will:
Lead the vision and strategy for how data science can support monetary policy
Build and manage a diverse team of data scientists
Engage with policymakers and economists to understand their needs and ensure solutions are aligned and effective
Embed best practices in coding, modelling and documentation while fostering a supportive community
Lead innovation through emerging tools, including AI, that can improve our effectiveness and efficiency
Link with the Bank's central technology and data teams to ensure that business needs are continuously catered for
Number of direct reports: 6
Role Requirements
We are seeking someone with deep technical knowledge, experience shaping and delivering impactful data science products and strong leadership skills. People from all backgrounds are welcome--even if you don't meet every desirable criterion, we value your perspective and interest.
Essential Strong technical skills working with modern data platforms and programming languages like R and Python and their data science libraries and packages.
Experience leading and developing a team of data scientists or analysts.
Experience leading or overseeing the development, testing and deployment of models and analytical tools, ensuring robustness, risk reduction and alignment with analytics development lifecycle principles.
Ability to assess emerging AI tools and integrate them effectively to streamline processes, raise productivity, unlock new insights and increase the impact of analytical work.
Strong collaboration skills, including the ability to plan and communicate how data science can benefit a large organisation, work well with others (economists, policy specialists, technical staff), and actively help build a supportive, knowledge-sharing data science community.
Desirable
Familiarity with Microsoft Azure and scalable cloud-based data platforms.
Familiarity with Databricks.
Experience delivering the implementation of a new data platform and analytics capabilities within a large or complex organisation.
Experience working in partnership with economists or in a policy-making environment, with an understanding of how data analytics can support policy analysis.
Knowledge of operational risk reduction in the context of analytical workflows and model management.
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