15 set - Milano
Satispay
Overview Relocation to Luxembourg is required. As Fraud Data Analyst, you will design real-time defense strategies to secure digital payments. You’ll work with cross-functional teams to optimize a real-time decisioning stack, integrating ML scores with velocity features for millisecond decisions. You will translate fraud patterns into high-performing rules and mitigate emerging schemes while keeping the user experience frictionless. This role offers ownership, rapid iteration, and a clear impact on risk posture and business growth.
Retribuzione / Benefits
Health insurance for you and family Stock Option Plan Relocation support Unlimited PTO Hybrid working policy Language courses
Responsabilità
Design and deploy real-time decisioning logic for millisecond fraud decisions Develop precision rules to balance false positives and fraud loss Investigate and mitigate payment fraud schemes (ATO, social engineering) Collaborate with Product and Engineering to define analytical requirements and data signals Operationalize ML model scores with heuristic rules in production Assess and reduce friction in security measures to preserve user experience Provide data-driven performance reporting to senior leadership to evolve risk appetite
Requisiti fondamentali
3-7 years of professional experience in risk, payments, or credit teamwork curiosity ownership SQL Python real-time decisioning
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