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PolymarketPolymarketNew York, NY

Senior Data Analyst, Trust and Safety

Senior Data Analyst on Polymarket's Data team supporting Trust & Safety. Investigate suspicious trading via SQL, build fraud/AML monitoring dashboards, identify bad actor patterns, and translate findings into detection improvements for live prediction markets.

Salary not listed
On-site3+ YOEData Analytics

About the role

What You'll Do

  • Write SQL queries to investigate suspicious trading activity on the US exchange, from initial flag through resolution
  • Field ad hoc data requests from the Trust and Safety team and deliver clear, well-documented answers without needing step-by-step direction
  • Build and maintain monitoring dashboards that track fraud and AML signals on an ongoing basis, keeping them accurate and useful week over week
  • Identify patterns in bad actor behavior across accounts, trading history, and on-chain data, and translate those patterns into concrete detection logic improvements
  • Document investigation findings in a format that non-technical stakeholders can act on
  • Work with the T&S team to prioritize the highest-risk signals and reduce noise in existing alerting systems

What We're Looking For

  • 3–5 years of experience in data analysis, with a track record of delivering under ambiguity
  • Strong SQL skills — you write clean, efficient queries against unfamiliar schemas without help and can debug your own work
  • Direct experience in fraud detection, AML investigation, or trust and safety analytics at an exchange, fintech, or similar environment
  • Proven ability to scope and complete open-ended investigations independently, not just answer well-defined questions
  • Experience building dashboards that operations or compliance teams rely on as a primary source of truth
  • Clear communication skills — you can explain what you found, why it matters, and what should happen next to someone who doesn't know SQL
  • (Plus) Familiarity with crypto or prediction market data structures, on-chain activity, or exchange-level trading data
  • (Plus) Experience writing or contributing to detection logic or rules engines in a fraud or AML context
  • (Plus) Background working directly with compliance, legal, or operations teams in a regulated environment

Benefits

  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Hardware setup: new MacBook Pro, big display, & accessories

Skills

SQLFraud DetectionAMLDashboardsData Analysison-chain analysisdetection logic

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