Polymarket

Senior Data Analyst, Trust and Safety

New York, New York, United StatesFull timeSeniorPosted 8 days ago
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About Polymarket

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.

About the Role

Polymarket's Trust and Safety team is responsible for keeping the US exchange clean — identifying fraud, flagging AML-adjacent activity, and making sure bad actors don't quietly erode the integrity of the market. You'll sit on the Data team and work directly with Trust and Safety, owning the analytical layer of their operation: fielding ad hoc data requests, writing the SQL to answer them, and building the monitoring infrastructure that surfaces problems before they become incidents.

This is an individual contributor role based in our NYC office. You'll be working on live, real-money markets, which means the work has immediate consequences. The goal is for T&S to spend their time on decisions, not data pulls.

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 improvem...