Senior Data Analyst, Trust and Safety

Join Polymarket as a Senior Data Analyst in Trust and Safety, focusing on fraud detection and data analysis to maintain market integrity. Work in a fast-paced environment with immediate impact.

Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We're growing fast — both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.

• •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

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

• •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