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Bank of England

Senior Analyst, Strategy and Innovation Team - PRA RegTech, Data & Innovation

Leeds
£50.3k – £56k/yr
Posted about 21 hours ago
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LEEDS BASED

This position is for a Senior Analyst in the Strategy & Innovation team within RDID. The team’s work is wide-ranging, covering everything from external engagement with innovation centres in other central banks and industry, to the translation of PRA business needs into actionable steps for internal software development. We lead the PRA’s SupTech Strategy, where we define strategic priorities and guiding principles for cloud-enabled and cloud ready software development across ARTIS and our innovation “spokes” in other parts of the PRA.

This is a key role leading our innovation engagement both internally and externally, to ensure our horizon scanning research and data science experiments are translated into tangible cross-PRA (and wider BoE) outreach and impact. The role holder will be engage with a colleagues across the organisation, including data scientists, supervisors, risk specialists, fintech analysts and communication leads. The role holder will also proactively manage relationships with innovation hubs at other central banks and regulators, including working with ECB colleagues to coordinate the SupTech, Monetary Policy Tech, AI and Green Finance Working Group of the Bank for International Settlement.

Key Responsibilities

  • Horizon Scanning: Continuously monitor and evaluate trends in RegTech, and emerging technologies, assessing their potential impact on the UK financial system and the regulatory environment. Provide foresight into technological developments that could disrupt or transform financial services and supervisory practices.
  • Stakeholder Engagement: Build and nurture relationships with key internal teams, financial supervisors and industry leaders. Act as a thought leader, sharing insights and influencing relevant stakeholders within the Bank on the understanding and strategic adoption of emerging technologies.
  • Risk Assessment: Conduct in-depth analysis of potential risks arising from the deployment of new technologies such as cyber risks, operational risks and systemic risks. Develop frameworks to assess and mitigate these risks, ensuring they align with the Bank’s supervisory goals.
  • Innovation Projects: Lead or contribute to proof-of-concept initiatives and pilot programmes exploring the adoption of emerging technologies, including Artificial Intelligence (AI), Distributed Ledger Technology (DLT) and quantum computing. Work collaboratively to evaluate their suitability in the Bank’s regulatory and supervisory environment.
  • Reporting & Insights: Prepare detailed papers, presentations and briefings for senior stakeholders, ensuring complex technical concepts are communicated effectively to non-technical audiences, including supervisors and senior leadership.  

Key Requirements

Minimum Criteria

  • Supervisory Technology Expertise: Strong understanding of Supervisory Technology (SupTech) trends and how emerging technologies could impact supervisory processes, including AI, DLT, machine learning and cloud computing. Knowledge of their application in financial supervision and regulatory technology.
  • Regulatory Knowledge: In-depth knowledge of financial regulatory frameworks, including how they apply to emerging financial products, able to demonstrate solid understanding of the interplay between regulation and technological innovation.
  • Stakeholder Management: Proven experience in managing relationships with external stakeholders such as financial institutions, technology companies and other central banks and regulators. Ability to influence senior-level discussions and build strategic partnerships across multiple sectors.
  • Analytical & Problem-Solving Skills: Strong ability to analyse complex technological developments, assess their impact, and develop actionable insights. Ability to identify key issues, formulate strategic solutions and deliver high-quality analysis.

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Essential Criteria

  • Communication Skills: Exceptional verbal and written communication skills. Demonstrated ability to present complex technical information in a clear, concise and accessible way to senior stakeholders, both internally and externally.  

Desirable Criteria

  • Degree in Finance, Economics, Computer Science, Engineering, or a related discipline.
  • Experience working on international regulatory initiatives and collaborating with global financial institutions or other central banks and international regulatory bodies.
  • Experience designing and delivering cross-industry forums on innovation and emerging technologies and capture lessons learnt to influence the strategic direction of the Bank.  
  • Experience leading technology innovation projects, with a focus on emerging technologies solutions in a supervisory context. Familiarity with Agile methodologies would be an advantage.
  • Good understanding of data science techniques, cloud technologies, machine learning algorithms and advanced analytics.  
  • A passion for staying ahead of the curve on disruptive technologies and how they can enhance financial supervision. Ability to think creatively about how emerging technologies can be harnessed to improve supervisory processes.

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 the 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. We believe that it’s by drawing on different perspectives and experiences that we’ll continue to make the best decisions for the public.

We welcome applications from individuals who work flexibly, including job shares and part time working patterns. We've also partnered with external organisations to support us in making adjustments for candidates and employees in the recruitment process where they're needed.  

For most roles where work can be carried out at home, we aim for colleagues to spend half of their time in the office, with a minimum of 40% per month. Subject to that minimum requirement, individuals and managers should work together to find what works best for them, their team and stakeholders.  

Finally, we're proud to be a member of the Disability Confident Scheme [https://www.gov.uk/government/publications/disability-confident-guidance-for-levels-1-2-and-3/level-2-disability-confident-employer]. If you wish to apply under this scheme, you should check the box in the ‘Candidate Personal Information’ under the ‘Disability Confident Scheme’ section of the application.

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Salary and Benefits Information

We encourage flexible working, part time working and job share arrangements. Part time salary and benefits will be on a pro-rated basis as appropriate.

Salary is circa £50,320 - £56,000. 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.
  • 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.

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 [https://www.bankofengland.co.uk/legal/privacy].

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.

The Application Process

Important: Please ensure that you complete the ‘work history’ section and answer ALL the application questions fully. All candidate applications are anonymised to ensure that our hiring managers will not be able to see your personal information, including your CV, when reviewing your application details at the screening stage. It’s therefore really important that you fill out the work history and application form questions, as your answers will form a critical part of the initial selection process.

The assessment process will comprise of two interview stages.  

This role closes on 28 July.

Please apply online, ensuring that you complete your work history and answer ALL the application questions fully and in detail as your application will not be considered if all mandatory questions are not fully completed.

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Skills

Supervisory Technology (SupTech)
RegTech
Stakeholder Management
Horizon Scanning
Risk Assessment
Artificial Intelligence
Distributed Ledger Technology
Quantum Computing
Analytical Problem Solving
Financial Regulatory Frameworks
Cloud Computing
Machine Learning
Strategic Planning
Technical Communication
Agile Methodologies
Data Science

Location

Leeds, England, United Kingdom

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