Fraud & AML Data Analyst — Trust & Safety Insights

Unchain Data; New York (NY); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Unlimited PTO

Health, Vision, Dental coverage

401k match

Hardware setup

Job summary

Polymarket in New York City is seeking a data professional for its Trust and Safety analytics team. You will own the analytical layer, writing SQL to answer ad hoc data requests and building monitoring dashboards to surface fraud and AML signals in real time.

You will work on live, real-money markets with immediate consequences, collaborating with Trust and Safety and Data teams to reduce noise and improve detection logic.

Qualifications

• 3–5 years of experience in data analysis or a similar role, with ability to handle ambiguity.
• Strong SQL skills with the ability to write clean, efficient queries against unfamiliar schemas.
• Direct experience in fraud detection, AML investigation, or trust and safety analytics at a data-driven organization.
• Proven ability to scope and complete open-ended investigations independently.
• Experience building dashboards that business or compliance teams rely on as a primary source of truth.

Responsibilities

• Write SQL queries to investigate suspicious trading activity from flag through resolution.
• Field ad hoc data requests from Trust and Safety and deliver clear, well-documented answers.
• Build and maintain monitoring dashboards tracking fraud and AML signals.
• Identify patterns in bad actor behavior and translate them into detection improvements.
• Document investigation findings for non-technical stakeholders.
• Collaborate with T&S to prioritize high-risk signals and reduce alert noise.

Skills

SQL

Data analysis

Fraud detection

Dashboard development

Communication

Job description

Polymarket in New York City is seeking a data professional for its Trust and Safety analytics team. You will own the analytical layer, writing SQL to answer ad hoc data requests and building monitoring dashboards to surface fraud and AML signals in real time.

You will work on live, real-money markets with immediate consequences, collaborating with Trust and Safety and Data teams to reduce noise and improve detection logic.