S&O Manager - Rider Fraud

About the role

Deliveroo, now part of DoorDash, is hiring an S&O Manager for rider fraud in London. This is a hybrid role (three days per week in the London office) and an individual contributor position. You will turn analysis into clear, proportionate policies and operational responses that protect platform integrity and customer outcomes, working closely with Legal, Public Policy, Product, Data Science and Operations.

Key responsibilities

• Lead a programme to identify, assess and prioritise courier/rider fraud and abuse risks across Wolt and Deliveroo.
• Turn identified risks into policy, process and operational responses that balance risk reduction with customer outcomes and business practicality.
• Lead implementation, monitoring and ongoing refinement of fraud and abuse policies, with clear measures of effectiveness and residual risk.
• Ensure policy approaches account for legal, regulatory, compliance and reputational implications.
• Use data and operational knowledge to find where fraud or abuse risk arises, and build analytical approaches and metrics to identify patterns, quantify impact and measure the effectiveness of policy interventions.
• Define new policies or revise existing ones, and conduct impact and risk assessments with clear options and recommendations.
• Partner with Legal, Public Policy, Product, Data Science, Trust and Operations teams, and lead cross-functional delivery from problem identification through to implementation, reporting and post-launch monitoring.

Required profile

• 6+ years of experience in fraud, risk, compliance, policy, operations, consulting or a related field.
• Experience translating complex or ambiguous risk issues into practical policies, recommendations and implementation plans.
• Experience navigating complex legal and regulatory landscapes and working with Legal and Public Policy stakeholders.
• Strong project management skills, able to manage multiple workstreams in a fast-paced environment.

Required skills

• Strong analytical and problem-solving skills, combining data, operational context and judgement.
• Excellent communication and stakeholder-management skills, including influencing senior stakeholders.
• Comfortable using AI-enabled tools to support analysis and hypothesis generation.