Senior Data Scientist / Analyst, Risk

Investigate and quantify abuse across the funnel, including multi-accounting, fake signups, bonus farming, wash trading, collusion, and market manipulation. Build detection logic that separates genuine users from coordinated behavior by combining on-chain, device, and behavioral signals. Turn one-off investigations into recurring monitoring and alerting systems that surface new patterns automatically. Size financial exposure for each abuse vector to prioritize controls based on actual cost. Partner with product to implement friction points at onboarding, verification, and bonus eligibility, then measure their effectiveness without driving away legitimate users. Support compliance with analysis for investigations, escalations, and regulatory reporting. Own end-to-end documentation of detection thresholds and rationale so engineers and compliance teams can follow the logic without you. Work with analytics engineers to promote detection rules into the modeled layer for reliable execution.