Senior Data Analyst, Trust and Safety

Polymarket•New York, NY

1d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

Familiarity with crypto or prediction market data structures, on-chain activity, or exchange-level trading data
Experience writing or contributing to detection logic or rules engines in a fraud or AML context
Background working directly with compliance, legal, or operations teams in a regulated environment

Responsibilities

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