Product Manager – Fraud Detection, Operational Intelligence

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Conduct discovery sessions with operators, fraud/risk teams, compliance stakeholders, analysts, casino teams, payment teams, and internal specialists to gain insights into actual operational workflows.

• Establish and uphold product artifacts that encompass problem statements, user journeys, workflows, success metrics, constraints, assumptions, trade-offs, and decisions.

• Convert requirements related to fraud, AML, payments, gameplay, bonus abuse, and operator intelligence into precise product specifications for design and engineering.

• Develop Shield’s risk decision-making capabilities, which include risk scores, rule logic, case queues, review processes, reason codes, audit logs, operator permissions, and escalation paths.

• Design Insights’ operator intelligence functions, comprising monitoring views, KPI definitions, report formats, alert logic, baseline comparisons, and AI-assisted explanations.

• Collaborate closely with the data and AI Technical Product Manager to provide clear data and AI requirements, ensuring Shield and Insights receive the necessary technical support.

• Actively and critically utilize data, ensuring tracking accurately reflects reality and transforming operational insights into actionable product decisions.

• Communicate with stakeholders clearly and purposefully, collecting input while maintaining ownership of prioritization and trade-offs.

⛳️ Requirements

• Over 3 years of experience in a Product Management role.

• Proven experience in owning or significantly contributing to fraud, risk, compliance, AML, payments risk, transaction monitoring, decision-making, or case management products.

• Familiarity with products featuring intricate backend logic, data dependencies, rules, scoring systems, workflows, or operational decision-making processes.

• Solid understanding of Product Management principles, including discovery, requirements definition, prioritization, delivery, stakeholder management, and iteration.

• Strong data fluency with the capability to translate operational insights into clear product decisions.

• Ability to operate effectively in environments with compliance, regulatory, financial, or high-trust requirements.

• Experience in iGaming, casino, sportsbook, or gambling platforms.

• Knowledge of 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 tools, or case management systems.

• Familiarity with third-party risk or fraud providers such as Chainalysis, TRM, Elliptic, SEON, FingerprintJS, ThreatMetrix, Sumsub, Onfido, PSPs, or onramp providers.

• Exposure to issues related to bonus abuse, multi-accounting, gameplay risk, shared wallet/payment method detection, account velocity, or operator back-office workflows.

• Experience in creating dashboards, reports, alerts, anomaly detection, or operator intelligence products.

• Background in B2B, SaaS, platform, or white-label environments.

• Practical understanding of AI, particularly in AI-assisted analysis, summaries, alerts, or decision-support workflows.

🏝️ Benefits

• No benefits specified