Senior Data Scientist / Analyst, Fraud & Risk

Written by the T&S Network from Polymarket's posting.

Fraud and risk analytics on a prediction market platform, working to prevent and detect identity theft, account takeovers, bonus farming, collusive trading, and ACH fraud before they cost money. The role sits between data and decisions about which accounts can trade and under what conditions, working with product and compliance.

• Fraud and scams
• Coordinated manipulation

What you'd do

• Build detection logic that tells legitimate traders apart from coordinated account groups using chain, device, and behavior data together.
• Turn one-off investigations into recurring reports and alerts that surface new abuse patterns automatically.
• Size the financial exposure of each abuse vector to prioritize work by cost.
• Partner with product on controls at onboarding, verification, and bonus eligibility, and measure their effect on legitimate users.
• Provide analysis that compliance uses for investigations, escalations, and regulatory filings.
• Work with analytics engineers to move detection logic into the modeled layer and document thresholds and rationale.

What it asks for

• Seven or more years in risk, fraud analytics, trust and safety, or a related investigations-focused analytical job.
• Expert SQL for hypothesis-driven analysis across large behavioral datasets.
• Hands-on work building fraud rules or models, setting cutoffs, and measuring precision and recall.
• Combining internal and outside data sources to produce findings the business can act on.
• Know-how in on-chain tracing, wallet clustering, or blockchain forensics (preferred).
• Background in trade surveillance, manipulation detection, or AML (preferred).
• Stats or ML skills in Python or R for anomaly detection, graph methods, or clustering (preferred).

Terms in this role

AML.

Anti-money laundering: the rules and checks that stop criminal money moving through a service.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Polymarketnorth_east before you apply. If we got something wrong, report this listing.