Senior Product Manager - Fraud Prevention

Location: Global

Team: General

About the Role

Wise is a global technology company on a mission to build the best way to move and manage the world’s money with min fees, max ease, and full speed. Join our Fraud Prevention team as a Senior Product Manager, where you'll design, deliver, and scale fraud controls that stop criminals in their tracks while ensuring legitimate customers enjoy seamless experiences. You'll own strategies to combat high-impact fraud like scams, chargebacks, and first-party fraud, partnering with engineers, data scientists, analysts, and operations specialists to disrupt illicit activity before it harms our millions of users. In this role, you'll build detection models, rules, and AI/ML integrations, create proactive measures against emerging threats, and foster feedback loops for continuous improvement. Leveraging vast real-world data, you'll balance precision fraud prevention with customer friction reduction, exploring innovative tools like biometrics and behavioral analytics. Enjoy full ownership of your roadmap in a fast-moving, autonomous team driving global impact. Why Wise? Protect millions worldwide, grow rapidly in an inclusive culture, and thrive with flexible work, stock options, sabbaticals, and more. Be part of building money without borders—for everyone, everywhere.

Key Responsibilities

• Own the strategy for detecting and preventing high-impact fraud typologies, including inbound scam and funding fraud
• Develop and deliver intelligence-led fraud controls that block illicit activity in real time
• Ensure controls balance fraud prevention with a great experience for genuine customers
• Partner with Fraud Operations to design scalable operational processes and tooling
• Measure impact and continuously iterate based on data and emerging threats
• Build detection models, rules, and signals to identify suspicious activity
• Design proactive measures that stop fraud before it happens
• Drive the integration of AI/ML detection with customer-facing fraud prevention flows

Required Qualifications

• Proven experience in fraud prevention, AML, risk management, or related financial crime areas
• Strong analytical skills and comfort working with large datasets to size problems and track outcomes
• Experience building products or controls in partnership with engineering, data science and design
• Strong understanding of how AI/ML models are developed, deployed, and monitored, with awareness of precision/recall trade-offs and model lifecycle
• Excellent problem-solving, communication, and stakeholder management skills

Preferred Qualifications

• An understanding of how fraudsters operate and adapt their methods
• Ability to design product features that generate high-quality data signals to improve model effectiveness
• Awareness of emerging fraud prevention technologies (biometrics, behavioural analytics, network intelligence) and ability to evaluate them critically

Required Skills

• Fraud prevention strategy
• Analytical skills with large datasets
• Cross-functional collaboration (engineering, data science, design)
• AI/ML model lifecycle management
• Fraudster behavior analysis
• Product feature design for data signals
• Stakeholder management
• Problem-solving
• Communication
• Evaluation of emerging technologies (biometrics, behavioural analytics)

Benefits

• RSUs (stock options)
• Flexible working
• Parental leave
• Learning budget
• Paid sabbatical after 4 years
• Health insurance
• Company retreat
• Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.