Fraud Data Analyst
Satispay
The recap below is dataskew's editorial summary. The authoritative job spec lives on the company's own posting.
Tech stack
Fraud Data Analyst at Satispay, the Italian payments unicorn (6M+ users and growing into a full financial platform). You sit on the fraud and risk team architecting real-time defense for payments: rules combined with ML scores making millisecond decisions.
Day to day: design and tune the real-time decisioning engine, optimize the false-positive vs gross-fraud-loss curve, hunt emerging fraud patterns (ATO, social engineering), and calibrate ML model outputs with heuristics. You partner with Product, Engineering, and Data Science.
Stack: SQL + Python core; PySpark and GraphQL are pluses. 3-7 years of experience in risk, payments, or credit. Fluent English required. Milan HQ.