Product Manager – Fraud Detection, Operational Intelligence

Block Labs

Senior Product Manager overseeing fraud detection and operational intelligence for iGaming. Leading product development for fraud and operational insights at Block Labs.

Posted 6/15/2026full-timeRemote • 🇵🇹 PortugalMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

no benefits specified

ATS Keywords

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Hard Skills & Tools

Product Managementfraud managementrisk managementcomplianceAMLpayments risktransaction monitoringrules enginesdata analysisAI-assisted analysis

Soft Skills

stakeholder managementprioritisationcommunicationclarityownershipcritical thinkingdata fluencyoperational insight