Senior Fraud & Risk Data Scientist

Polymarket; New York (NY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Unlimited PTO

Health, Vision, & Dental

401k match

Hardware setup

Job summary

Polymarket is seeking a Sr Data Scientist / Analyst, Fraud & Risk to proactively prevent and detect fraud on our platform, including identity theft, account takeovers, and bot/farm activity. You’ll work with product and compliance to decide who may trade and under what conditions.

This role fits someone who enjoys adversarial problems, builds multi-signal detection (on-chain, device, behavior), and communicates clear risk controls for a fast-moving crypto fintech.

Qualifications

• 7+ years in risk or fraud analytics or similar.
• Expert SQL with ability to explore large datasets.
• Experience building fraud detection rules and monitoring.
• Able to quantify risk and balance user impact.
• Plus: on-chain/wallet clustering or blockchain forensics.

Responsibilities

• Proactively prevent and detect fraud across the funnel (identity theft, account takeovers, farming, ACH).
• Build detection logic using on-chain, device, and behavioral signals.
• Turn investigations into monitoring with recurring reporting.
• Size financial exposure of abuse vectors and prioritize accordingly.
• Collaborate with product on friction points (onboarding, verification, bonuses).
• Support compliance with investigations and regulatory reporting.
• Adapt signals as fraud patterns evolve.
• Work with analytics engineers to deploy detection into production.

Skills

SQL

Fraud analytics

Pattern recognition

ML / statistics

On-chain analysis

Fintech / crypto domain knowledge

Job description

Polymarket is seeking a Sr Data Scientist / Analyst, Fraud & Risk to proactively prevent and detect fraud on our platform, including identity theft, account takeovers, and bot/farm activity. You’ll work with product and compliance to decide who may trade and under what conditions.

This role fits someone who enjoys adversarial problems, builds multi-signal detection (on-chain, device, behavior), and communicates clear risk controls for a fast-moving crypto fintech.