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Polymarket is a peer-to-peer prediction market platform where users trade on real-world outcomes across politics, economics, sports, and current affairs. The company has facilitated $115B in trading volume and is positioned as an alternative news source reflecting collective expectations about future events.
As Senior Data Scientist / Analyst, Risk, you will identify and prevent abuse patterns on the platform, including fake signups, bonus farming, wash trading, collusion, and market manipulation. You'll work at the intersection of data, product, and compliance to build detection systems that protect platform integrity while minimizing friction for legitimate users.
Key responsibilities include:
- Investigating abuse across the user funnel and quantifying financial exposure by vector
- Building detection logic that combines on-chain, device, and behavioral signals to identify coordinated behavior
- Converting one-off investigations into scalable monitoring systems with recurring reporting and alerting
- Partnering with product teams to design and measure controls at critical friction points (onboarding, verification, bonus eligibility)
- Supporting compliance with analysis for investigations, escalations, and regulatory reporting
- Collaborating with analytics engineers to operationalize detection logic in the data warehouse
- Owning comprehensive documentation of detection thresholds and rationale for transparency and maintainability
You'll operate in a fast-moving environment where product changes frequently introduce new abuse vectors, requiring continuous adaptation. The role demands strong pattern recognition instinct, expert SQL proficiency, and the ability to navigate tradeoffs between false positives and missed abuse while protecting user experience.
Ideal candidates have 7+ years in risk, fraud analytics, trust and safety, or similar investigative analytical roles. Additional expertise in on-chain analysis, trade surveillance, market manipulation detection, AML, statistical/ML methods, or fintech/crypto experience is highly valued.
