Senior Product Manager, Risk

Skills

About the Role

You will lead the development and evolution of Transak's in-house proprietary risk engine. This system leverages a network of third-party data providers for enrichment, while you maintain full internal ownership over the data pipelines, risk logic, and real-time decision-making architecture. You will work closely with engineering, data science, operations, and compliance to define and execute the roadmap for fraud detection and risk mitigation at scale. This is a specialized product role focused on owning the risk and fraud prevention stack for payment processing at Transak.

Requirements

• 6-8+ years of Product Management experience, with at least 2 years in risk or fraud-related domains within fintech or crypto
• Deep understanding of fraud vectors in crypto on/off ramps, payment processing, or financial infrastructure
• Strong SQL skills; experience exploring raw datasets, building metrics dashboards, and validating system behavior independently
• Solid foundation in statistics and ML evaluation metrics relevant to fraud detection
• Proven track record of working with data scientists, risk engineers, and fraud ops teams to ship high-impact products
• Experience working with or building rule engines, decision platforms, and/or real-time scoring systems
• Prior exposure to compliance-oriented product design, including KYC/AML, transaction monitoring, and alerts review
• Familiarity with tools such as Alloy, Sardine, Elliptic, Sift, or similar vendors
• Background in scripting (Python etc.) for deeper data exploration or prototyping
• Experience in user-facing risk UX like transaction friction, user appeals, or dynamic KYC workflows
• Understanding of global regulatory environments impacting crypto or fintech fraud handling

Responsibilities

• Own and evolve the product roadmap for Transak's risk engine and fraud detection systems
• Translate evolving fraud typologies into product requirements and technical capabilities
• Collaborate with stakeholders across Compliance, Engineering, Data, and Operations to align on risk product vision and execution
• Own metrics around fraud and chargebacks, false positives, and conversion rates
• Work directly with data by writing and optimizing DB queries, analyzing incident trends, and monitoring live risk signals
• Define, track, and report key performance metrics including precision, recall, FPR/TPR, AUC, and latency benchmarks for detection models
• Partner with risk engineers and analysts to design statistically sound experiments, calibrate thresholds, and evaluate detection effectiveness
• Architect the full lifecycle of risk logic including rule management, model integration, case enrichment, and outcomes logging
• Lead vendor selection and negotiations for third-party risk intelligence tools, behavioral analytics, and identity verification partners
• Collaborate with Risk Operations to develop case management and alerting systems that maximize analyst efficiency
• Prioritize internal tooling improvements that enable fast triage, investigation, and override workflows
• Ensure all risk-related features are scalable, testable, and maintainable under real-world loads