Responsibilities:

📍Define and drive the fraud prevention strategy, identifying and addressing both existing and emerging risk vectors. 📍Partner with Engineering and Data Science to design and implement scalable fraud detection systems and machine learning models. 📍Collaborate with Fraud Operations to optimize case management, tooling, and workflows for efficiency and accuracy. 📍Balance customer experience with risk mitigation, ensuring friction is minimized while fraud is proactively detected. 📍Monitor, measure, and report on fraud trends, losses, and performance metrics to inform strategy and executive decision-making. 📍Influence cross-functional teams, ensuring Trust & Safety is integrated across onboarding, payments, trading, and withdrawals. 📍Champion an experimentation mindset, leveraging data-driven insights to test, learn, and adapt strategies for maximum impact. 📍Act as a change leader, adapting quickly as priorities shift and ensuring alignment across teams through clear communication and a positive approach.

Qualifications:

📍6+ years of product management experience, with a focus on fraud, risk, trust & safety, or financial crime. 📍Deep knowledge of fraud behaviors, detection mechanisms, and prevention strategies in fintech, payments, or crypto. 📍Strong data and analytical skills, with experience partnering with data science teams on ML-driven fraud detection. 📍Proven ability to balance customer experience with risk mitigation in retail-facing products. 📍Excellent cross-functional collaboration and communication skills, with experience influencing engineering, design, and operations. 📍Highly organized, with a track record of driving complex initiatives and thriving in fast-paced, evolving environments.

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