Web3 Incubator & Investment
Product Manager – Fraud Detection, Operational Intelligence
Location
Portugal
Posted
5 days ago
Salary
0
Seniority
Senior
Job Description
Product Manager – Fraud Detection, Operational Intelligence
Block Labs
• Run discovery with operators, fraud/risk teams, compliance stakeholders, analysts, casino teams, payment teams, and internal experts to understand real operational workflows. • Define and maintain product artefacts covering problem statements, user journeys, workflows, success metrics, constraints, assumptions, trade-offs, and decisions. • Translate fraud, AML, payments, gameplay, bonus abuse, and operator intelligence requirements into clear product requirements for design and engineering. • Shape Shield’s risk decisioning capabilities, including risk scores, rule logic, case queues, review flows, reason codes, audit logs, operator permissions, and escalation paths. • Shape Insights’ operator intelligence capabilities, including monitoring views, KPI definitions, report formats, alert logic, baseline comparisons, and AI-assisted explanations. • Partner closely with the data and AI Technical Product Manager, delivering clear data and AI requirements so Shield and Insights get the technical support they need. • Use data actively and critically, ensuring tracking reflects reality and turning operational insights into concrete product decisions. • Engage stakeholders with clarity and intent, gathering input while retaining ownership of prioritisation and trade-offs.
Job Requirements
- 3+ years in a Product Management role.
- Experience owning or significantly contributing to fraud, risk, compliance, AML, payments risk, transaction monitoring, decisioning, or case management products.
- Experience working on products with complex backend logic, data dependencies, rules, scoring, workflows, or operational decision-making.
- Strong understanding of Product Management fundamentals, including discovery, requirements definition, prioritisation, delivery, stakeholder management, and iteration.
- Strong data fluency and the ability to turn operational insight into clear product decisions.
- Comfort operating in environments with compliance, regulatory, financial, or high-trust constraints.
- iGaming, casino, sportsbook, or gambling platform experience.
- Experience with AML/KYT, wallet risk, KYC, identity risk, device intelligence, payment fraud, chargebacks, or withdrawal risk.
- Experience with rules engines, risk scoring, fraud review tools, compliance tooling, or case management systems.
- Experience with third-party risk or fraud providers such as Chainalysis, TRM, Elliptic, SEON, FingerprintJS, ThreatMetrix, Sumsub, Onfido, PSPs, or onramp providers.
- Exposure to bonus abuse, multi-accounting, gameplay risk, shared wallet/payment method detection, account velocity, or operator back-office workflows.
- Experience building dashboards, reports, alerts, anomaly detection, or operator intelligence products.
- Experience in B2B, SaaS, platform, or white-label environments.
- Practical AI literacy, especially around AI-assisted analysis, summaries, alerts, or decision-support workflows.
Benefits
- no benefits specified
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