Deliveroo
Strategy & Operations Manager – Emerging Fraud & Abuse
- Location
- London, City of, GB
- Arrangement
- Hybrid
- Employment type
- Full-time
- Level
- Manager
- Posted
- 19 August 2026 (about a month ago)
Checked 27 days agoApplications go to the employer, never to RoleSprint
About this role
About the Role
- 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.
What You'll Do
- 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.
What We're Looking For
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.
You'll bring:
- 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
You'll thrive here if you...
- Love solving problems that don't have an obvious answer
- Are naturally curious and enjoy uncovering hidden patterns in data
- Think like both an investigator and a strategist
- Can connect technical detail with commercial impact
- Influence through evidence rather than hierarchy
- Stay ahead of emerging technologies and evolving fraud techniques
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Work location
- London, London, City of, GB
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About this listing
Published on Ashby under the board identifier Deliveroo, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 19 August 2026, last checked 27 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.