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DeliverooStrategy & Operations Manager – Emerging Fraud & Abuse
Deliveroo is now a DoorDash business and works with DoorDash and Wolt colleagues. Fraud and abuse evolve as the company grows, so this role is aimed…
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About This Role
Deliveroo is now a DoorDash business and works with DoorDash and Wolt colleagues. Fraud and abuse evolve as the company grows, so this role is aimed at spotting new threats rather than running existing fraud programmes. This Senior Strategy and Operations Manager for Emerging Fraud and Abuse is an individual contributor job in London, with three office days a week. The task is to uncover new abuse patterns across products,…
Job Description
Deliveroo is now a DoorDash business and works with DoorDash and Wolt colleagues. Fraud and abuse evolve as the company grows, so this role is aimed at spotting new threats rather than running existing fraud programmes.
This Senior Strategy and Operations Manager for Emerging Fraud and Abuse is an individual contributor job in London, with three office days a week. The task is to uncover new abuse patterns across products, promotions and operations before they spread. The manager spots weaknesses, studies attacker behaviour, and turns findings into mitigation plans. The role also sets the emerging fraud roadmap, ranks risks by customer impact, financial exposure and operational complexity, and writes business cases for tooling, automation and machine learning.
Working with Product, Engineering, Data Science, Trust and Safety, Customer Operations, Legal and Finance, the manager designs prevention built into product work from the start, flags likely abuse before launches, and sets metrics for emerging risk. The listing values experience investigating complex abuse, strong SQL, and influence without formal authority.
Responsibilities
- Spot fresh fraud schemes, misuse trends and weak points across products
- Investigate anomalies and work out how attackers operate
- Set the emerging fraud roadmap and rank risks by impact
- Prepare business cases for tooling, automation and machine learning
- Design scalable prevention alongside Product, Engineering and Data Science
- Flag likely abuse before major launches and propose controls
- Build frameworks for responding to new threats and share intelligence
Requirements
- Hands-on work digging into intricate misuse or operational risk cases
- Solid SQL skills and comfort with large datasets
- Structured approach to unclear problems with limited information
- Experience shaping Product, Engineering and Data Science work without direct authority
- Skill at turning technical findings into commercial recommendations
- Sound commercial judgement and balance between experience and risk
Qualifications
- Exposure to A/B testing, ML modelling, fraud detection, marketplace integrity or safety work would help, though it is optional
Core Skills
Benefits
- Benefits vary by country and are confirmed by the recruiter
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
London, on a hybrid schedule with three office days per week.
Does the role run existing fraud programmes?
No. The focus is on identifying what comes next rather than running current programmes.
Is a salary figure listed?
No. The posting does not state a salary.
What background is preferred?
Fraud, trust and safety, cybersecurity, payments, marketplaces, fintech or consulting.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.