Product Manager – Anti Fraud

Job not on LinkedIn

🔥 0 minutes ago

🇳🇱 Netherlands – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Own the end-to-end anti-fraud product roadmap covering signup/KYC checks, payment fraud detection, account takeover protection, and compute-abuse prevention • Own rules and risk-scoring tooling for analysts and data scientists to define, test, and deploy detection rules and ML models with guardrails and audit trails • Own manual review and case-management experiences for Trust & Safety operations, including queues, evidence views, and action workflows • Own customer-facing verification flows, step-up challenges, and appeals while minimizing false positives • Define signals, alerts, and thresholds to identify fraud and abuse incidents early • Participate in incident reviews and post-mortems, converting root causes into improvements to detection rules, models, and roadmap • Drive triage, ownership, and mitigation of active incidents with Trust & Safety, Engineering, and Data Science • Write PRDs and specifications translating risk problems into engineering and data-science work • Partner with Analytics on detection models, defining problems, labels, success criteria, and rules-versus-ML decisions • Run experiments and monitor rollouts, tracking fraud-catch metrics and customer-friction impact • Work with Legal/Compliance on payment-network rules, KYC/AML expectations, and data-privacy requirements • Track and report fraud loss, chargeback rate, false-positive rate, review throughput, and time-to-detection

🎯 Requirements

• 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 balance security, business, and customer-experience priorities • Solid collaboration with engineering and data science; ability to hold a technical conversation about signals, features, and model behavior • Exposure to cloud, SaaS, marketplace, fintech, or infrastructure products • Understanding of payment fraud, chargebacks, KYC/AML, or device/network signals (fingerprinting, velocity, IP reputation) • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire • Familiarity with ML-based detection systems and their operational lifecycle (drift, retraining, monitoring) — added bonus • Experience with abuse patterns specific to compute or GPU platforms (mining, credential stuffing, free-tier farming) — added bonus

🏖️ Benefits

• 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