Назад
5 дней назад

Senior Data Scientist / Analyst, Risk (Crypto)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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