About the role
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.
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