Strategy & Operations Manager - Emerging Fraud & Abuse

About the role

As the Senior Strategy & Operations Manager for Emerging Fraud & Abuse, you will lead the discovery, investigation and mitigation of new and evolving abuse vectors across the platform. The role is individual contributor, hybrid (3 days per week in the London office), and focuses on identifying risks before they become systemic, working across Product, Engineering, Data Science, Operations, Legal and Policy to build scalable solutions.

Key responsibilities

• Proactively identify new fraud patterns, abuse trends and vulnerabilities across products, customer journeys and operations, and investigate anomalies to turn them into mitigation strategies
• Scan continuously for evolving risks such as organised fraud, policy loopholes, technological change or new product launches
• Define the roadmap for emerging fraud prevention, prioritise risks by customer impact, financial exposure and strategic importance, and develop business cases for tooling, automation, machine learning and product improvements
• Lead complex investigations and partner with Product, Engineering and Data Science to design scalable prevention mechanisms and establish metrics on risk and mitigation effectiveness
• Coordinate between Fraud, Product, Engineering, Trust & Safety, Customer Operations, Legal, Finance and Data Science, and embed fraud prevention into product roadmaps and launches
• Build organisational capability: frameworks for identifying and responding to emerging threats, sharing of intelligence, and a proactive fraud prevention culture

Required profile

• Background in fraud, trust & safety, cybersecurity, payments, marketplaces, fintech, consulting or another analytical environment
• Experience investigating complex fraud, abuse or operational risk problems
• Experience influencing Product, Engineering and Data Science teams without direct authority
• Ability to translate technical findings into clear business recommendations and strong commercial judgement
• Advantageous: experimentation, machine learning, fraud detection, marketplace integrity or trust and safety experience

Required skills

• Strong analytical skills with SQL and comfort working with large datasets
• Structured approach to ambiguous problems with limited information