About the company
Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”
Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.
We have raised over $37M from top-tier investors including
Consensys, Tether, and Animoca Brands .
Role Overview 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.
Key Responsibilities Product Ownership & Strategy
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.
Technical & Analytical Leadership
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.
Risk Stack Management
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.
Tooling & Enablement
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.
Requirements Must-Haves
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.
Nice-to-Haves
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.
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.
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