Product Manager - Anti Fraud

• Identify fraud and abuse incidents early — define the signals, alerts, and thresholds that surface incidents before they scale, and own the detection surface that flags them.

• Participate in incident reviews and post-mortems, capturing root causes and turning each finding into concrete improvements to detection rules, models, and the roadmap.

• Ensure timely response to active incidents — drive fast triage, clear ownership, and mitigation, working alongside Trust & Safety, Engineering, and Data Science to contain impact.

• Write clear PRDs and specs that translate fuzzy risk problems into shippable engineering and data-science work.

• Partner with Analytics team on detection models — defining the problem, labels, and success criteria, and deciding where rules vs. ML are the right tool.

• Run experiments and monitor rollouts, watching both fraud-catch metrics and false-positive / customer-friction impact.

• Work with Legal/Compliance to keep detection and enforcement aligned with payment-network rules, KYC/AML expectations, and data-privacy requirements.

• Track and report on fraud loss, chargeback rate, false-positive rate, review throughput, and time-to-detection.

We expect you to have:

• Proven product management experience in fraud, risk, trust & safety, or payments.

• Strong analytical skills — comfortable with data, SQL or equivalent, and reasoning about precision/recall trade-offs and metrics.

• Ability to make decisions under ambiguity and to balance security, business, and customer-experience priorities.

• Solid collaboration with engineering and data science; you can hold a technical conversation about signals, features, and model behavior.

• Exposure to cloud, SaaS, marketplace, fintech, or infrastructure products.

• Understanding payment fraud, chargebacks, KYC/AML, or device/network signals (fingerprinting, velocity, IP reputation).

It would be an added bonus if you have:

• Familiarity with ML-based detection systems and their operational lifecycle (drift, retraining, monitoring).

• Experience with abuse patterns specific to compute or GPU platforms (mining, credential stuffing, free-tier farming).

Benefits & Perks:

• Competitive compensation

• Career growth and learning opportunities

• Flexibility and ownership

• Collaborative and innovative culture

• Opportunity to work on impactful AI projects

• International environment and talented teams

What's it like to work at Nebius :

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Originally posted on Himalayas

• Product Manager
• Fraud Product Manager
• Risk Product Manager
• Trust And Safety Product Manager

Source: Himalayas