Strategy & Operations Manager – Emerging Fraud & Abuse at Deliveroo in London, United Kingdom - Deliveroo

Job description

• Hybrid (3 days per week in the London office required)
• Individual contributor role
• Fraud is constantly evolving. As our business grows, so do the ways bad actors seek to exploit our products, promotions, and operations.
• As the Senior Strategy & Operations Manager for Emerging Fraud & Abuse, you'll lead the discovery, investigation, and mitigation of new and evolving abuse vectors across our platform. Your mission is to identify risks before they become systemic, working across Product, Engineering, Data Science, Operations, Legal, and Policy to design scalable solutions that protect our customers, partners, and business.
• This isn't a role focused on running existing fraud programmes. It's about identifying what's next.
• You'll combine deep analytical thinking with strategic problem solving to uncover emerging threats, quantify business impact, influence product strategy, and build new controls that keep us ahead of increasingly sophisticated fraudsters.
• If you enjoy solving ambiguous problems, following the data, and building solutions where no playbook exists, we'd love to hear from you.

Responsibilities

• Identify Emerging Abuse
• Proactively identify new fraud patterns, abuse trends, and vulnerabilities across our products, customer journeys, and operational processes.
• Investigate anomalies, understand attacker behaviours, and translate observations into actionable mitigation strategies.
• Continuously scan for evolving risks, whether driven by organised fraud, policy loopholes, technological change, or new product launches.
• Build the Strategy
• Define the roadmap for emerging fraud prevention across the business.
• Prioritise risks based on customer impact, financial exposure, operational complexity, and strategic importance.
• Develop business cases that influence investment in tooling, automation, machine learning, and product improvements.
• Turn Insights into Action
• Lead complex investigations to understand how abuse occurs and where existing controls can be strengthened.
• Partner with Product, Engineering, and Data Science to design scalable prevention mechanisms rather than tactical fixes.
• Establish metrics that measure both emerging risk and the effectiveness of mitigation strategies.
• Drive Cross-Functional Execution
• Act as the central point of coordination between Fraud, Product, Engineering, Trust & Safety, Customer Operations, Legal, Finance, and Data Science.
• Influence roadmaps to ensure fraud prevention is embedded into product development from the earliest stages.
• Support major product launches by identifying potential abuse scenarios and recommending preventative controls.
• Build Organisational Capability
• Develop frameworks for identifying, prioritising, and responding to emerging threats.
• Improve how intelligence is shared across teams to ensure new attack patterns are detected and mitigated quickly.
• Help foster a culture of proactive fraud prevention across the organisation.

Requirements

• We're looking for someone who thrives in ambiguity and enjoys solving complex, high-impact business problems.
• You'll likely come from fraud, trust & safety, cybersecurity, payments, marketplaces, fintech, consulting, or another analytical environment where you've been responsible for identifying and solving new risks.
• Experience investigating complex fraud, abuse, or operational risk problems
• Strong analytical skills with SQL and the ability to work comfortably with large datasets
• A structured approach to solving ambiguous problems with limited information
• Experience influencing Product, Engineering, and Data Science teams without direct authority
• The ability to translate technical findings into clear business recommendations
• Strong commercial judgement and an understanding of balancing customer experience with risk mitigation
• Experience in experimentation, machine learning, fraud detection, marketplace integrity, or trust and safety is advantageous but not essential

Skills

Required

• Strong analytical skills with SQL
• Strong commercial judgement

Preferred

• Experience in experimentation
• Machine learning
• Fraud detection
• Marketplace integrity
• Trust and safety