Senior Product Manager, Transak

• 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

Desirable

• We see Risk & Fraud as one of the central problems that Transak needs to solve to enable safe and scalable access to crypto globally
• As Senior Product Manager - Risk & Fraud, you will lead the development and evolution of our in-house proprietary risk engine. This system leverages a network of third-party data providers for enrichment, while maintaining 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
• 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. Write and optimize DB queries, analyze incident trends, and monitor 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: 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
• What Success Looks Like:
• Significant improvements in fraud prevention accuracy with minimal user friction
• Streamlined analyst tooling that reduces time-to-decision and operational overhead
• Successful launches of new risk capabilities and integrations with minimal false positives
• Clearly defined risk KPIs that tie directly into business health and compliance posture