Block Labs logo
Block Labs

Web3 Incubator & Investment

Product Manager – Fraud Detection, Operational Intelligence

Financial CrimeFinancial CrimeFull TimeRemoteSeniorTeam 51-200Since 2022H1B No SponsorCompany SiteLinkedIn

Location

Portugal

Posted

5 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglish

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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