Senior Risk Portfolio Associate

Overview

In this role you will strengthen risk management for payments firms, digital assets, and related payment systems within the Cross-Cutting Delivery Department. You will coordinate with cross-functional teams, feed insights to leadership, and help shape the risk approach across PDA and PSR. The position focuses on identifying cross-cutting risks, monitoring mitigations, and presenting concise analyses to senior audiences. You will contribute to governance and stakeholder collaboration in a dynamic, evolving regulatory program with a strong impact on UK payments and digital asset markets.

Pay / Benefits

• 25 days annual leave plus bank holidays
• flexible benefits scheme
• private healthcare with Bupa
• life assurance at eight times salary
• pension (8–12% depending on age)
• volunteering and office-based work model

Responsibilities

• Report to committees and maintain awareness of the wider payments and digital assets risk landscape
• Synthesize insights from PDA/PSR to inform risk priorities and leadership discussions
• Identify and prioritise cross-cutting risks across portfolios and assess mitigation impacts
• Ensure risk management actions and controls are in place with appropriate governance
• Collaborate with sector risk leads and other teams to deliver shared risk outcomes
• Communicate analyses to senior audiences, often without direct authority
• Commission research, analyze large data sets, and present concise, persuasive findings
• Assess regulatory interventions’ market impact and prioritise risks and opportunities

Key requirements

• Demonstrable expertise in risk analysis
• Strong stakeholder management and collaborative relationship-building
• Knowledge of UK financial services regulation
• Ability to operate under uncertainty and iterate improvements
• Solid data analysis skills with tooling experience
• Experience developing and implementing risk management frameworks
• Experience working across teams to achieve shared outcomes
• Ability to engage senior stakeholders and tailor messages

• collaborative and inclusive mindset
• clear, effective communication
• ability to balance priorities and influence without direct authority
• data analysis of large datasets
• risk assessment and impact analysis
• experience with AI-enabled data tooling

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