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Senior Risk Specialist; Data Scientist) in Operational Risk and Capital Intelligence
Job in
London, Greater London, W1B, England, UK
Listed on 2026-10-22
Listing for:
Bank of England
Full Time
position Listed on 2026-10-22
Job specializations:
-
Finance & Banking
Risk Manager/Analyst
Job Description & How to Apply Below
Risk Management
Location:
Leeds, United Kingdom;
London, United Kingdom
Schedule:
Full time Posted:
Closes:
Base Salary: circa 65,440 - 73,000
Directorate:
Supervisory Risk Specialists LEEDS BASED Supervisory Risks Specialists Directorate As a directorate of the PRA, the Supervisory Risk Specialists (SRS) provides deep technical expertise and applies judgement in specific risk disciplines in order to identify, analyse and mitigate material risks to the safety and soundness of PRA regulated firms as well as financial stability objectives. SRS also supports the wider Bank through providing risk specialist expertise to a range of functions including policy development and implementation, the Bank's concurrent stress tests, Concurrent Operational Resilience Stress Testing, central counter party and payments oversight.
SRS comprises five divisions:
• Operational Risk & Resilience (ORRD)
• Sector Resilience Division (SRD)
• Credit, Risk, Analytics, Liquidity and Capital (CRACL)
• Investment Banking and Sector Risks (IBSR)
• Model Development and Review (MDRD) Operational Risk & Resilience Division The Operational Risk and Resilience Division (ORRD), part of the SRS Directorate, plays a pivotal role in shaping the PRA’s supervisory approach to operational risk and resilience. This is a unique opportunity to contribute to the evolution of ORR policy and practice, influencing both regulatory and financial stability agendas. The work spans system-wide issues and engages with central banks, regulators, and government agencies at both domestic and international levels, giving you an opportunity to shape strategic developments in operational risk and resilience.
Operational Risk and Capital Intelligence Team The Operational Risk and Capital Intelligence team is responsible for developing the tools and insights needed to drive a system-wide view of operational risk management, capital and related emerging trends. These allow ORRD to prioritise what matters most and strengthen the evidence base for capital judgements and how they integrate with the division’s broader risk & resilience toolkit using a combination of quantitative and qualitative assessment methods.
Job Description An opportunity has arisen for a Senior Risk Specialist (Data Scientist) in the Operational Risk and Capital Intelligence team. Responsibilities Applies data science and advanced analytics techniques to operational risk and resilience data to support supervisory judgement and decision making. Works across the division to identify, curate and exploit internal and external data sources to draw actionable insights relevant to all aspects of operational risk and resilience.
Develops and maintains analytical tools, data modelling and visualisations that improve insight, comparability and consistency of supervisory assessments. Works with experts to frame analytical questions and shape hypotheses that support supervisory priorities to ensure data is used proportionately and effectively in firm assessments and cross-firm analysis. Translates complex analytical outputs into clear, decision‑relevant insight for supervisors and senior stakeholders and actively proposes optimal methods for distilling intelligence from relevant data.
Exercises sound judgement when working with imperfect, incomplete or noisy data, clearly articulating limitations, assumptions and uncertainty. Influences how data is used across the division by promoting good practice, common approaches and efficient reuse of analytical assets. Owns the delivery of analytical products, contributes to shaping analytical priorities across the division, and influences the adoption of data-driven approaches beyond immediate assignments.
Requirements Minimum Criteria…
Position Requirements
10+ Years
work experience
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