Management Consultant - Non-Financial / Operational Risk

Non-Financial Risk (Enterprise Risk) Consultant – All Levels

Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent

Drive impactful change across enterprise risk, market abuse, and surveillance frameworks

The Role

Capco is looking for Management Consultants with expertise in Non-Financial Risk to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. You'll work on a variety of projects for leading financial institutions, delivering risk transformation and advisory services across enterprise and operational risk. Acting as a trusted advisor, you'll help shape the future of risk frameworks, controls, governance, and surveillance capabilities. You'll also embrace AI-enabled ways of working, using approved AI tools to enhance analysis, improve delivery efficiency, and support better decision-making while applying appropriate human judgement and responsible AI practices.

What You'll Do

• Support enterprise and operational risk transformation projects, leveraging AI-enabled analysis where appropriate to improve delivery, insight, and efficiency.
• Document, assess, and enhance risk processes and controls across the first and second lines of defence, identifying opportunities for automation and AI-enabled workflow improvements.
• Contribute to market abuse and trade surveillance initiatives by reviewing controls, detection scenarios, and the responsible application of AI to improve surveillance effectiveness and reduce false positives.
• Support AI model tuning and optimisation activities within surveillance environments, ensuring appropriate governance, validation, auditability, and human oversight.
• Engage stakeholders across business, technology, compliance, and risk functions to deliver collaborative, data-driven transformation initiatives.

What We're Looking For

• Experience in enterprise or operational risk, ideally within financial services.
• Strong understanding of market abuse regulation and trade surveillance frameworks.
• Awareness or practical experience of AI and machine learning applications within risk or surveillance environments, including model tuning concepts and responsible AI practices.
• Experience documenting end-to-end processes, identifying risk and control gaps, and using approved AI tools to support analysis where appropriate.
• Excellent communication and stakeholder management skills with the ability to explain complex concepts clearly across business and technology teams.