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Описание вакансии
Текст:
TL;DR
Senior Data Scientist / Analyst, Risk (Crypto) (fraud analytics and risk detection): Investigating abuse across a peer-to-peer prediction market and building detection systems for coordinated behavior with an accent on multi-accounting, bonus farming, wash trading, collusion, and market manipulation. Focus on combining on-chain, device, and behavioral signals, quantifying financial exposure, and turning investigations into reliable monitoring and controls.
Location: New York, on-site
Company
Polymarket operates a peer-to-peer prediction market where users trade on outcomes across politics, economics, sports, culture, and current affairs.
What you will do
- Investigate and quantify abuse across the funnel, including fake and duplicate signups, bonus farming, wash trading, collusion, and market manipulation.
- Build detection logic combining on-chain, device, and behavioral signals to identify coordinated activity.
- Turn investigations into recurring monitoring, reporting, and alerting for emerging abuse patterns.
- Size the financial exposure of abuse vectors and recommend priorities based on actual impact.
- Partner with product on onboarding, verification, bonus eligibility, and other controls while measuring user impact.
- Support compliance investigations and regulatory reporting, and promote detection logic into the modeled data layer with analytics engineers.
Requirements
- 7+ years of experience in risk, fraud analytics, trust and safety, or a similar investigative analytical role.
- Expert SQL skills and the ability to investigate large behavioral datasets independently.
- Experience building detection rules or models and evaluating false-positive versus missed-abuse tradeoffs.
- Strong pattern-recognition skills and the ability to explain coordinated account behavior.
- Sound judgment regarding legitimate-user impact and discretion when handling sensitive findings.
- Ability to operate effectively in a fast-moving environment with frequently changing business logic.
Nice to have
- Experience with on-chain analysis, wallet clustering, or blockchain forensics.
- Experience with trade surveillance, market manipulation detection, or AML.
- Statistical or machine learning experience with anomaly detection, graph analysis, or clustering in Python or R.
- Experience in fintech, crypto, prediction markets, or other data-intensive financial products.
Culture & Benefits
- Fast-moving environment where new products can create new abuse vectors.
- Competitive salary and equity.
- Unlimited PTO.
- Full health, vision, and dental coverage.
- 401(k) match and a hardware setup including a new MacBook Pro, display, and accessories.
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