Overview As Fraud Data Analyst, you will help secure real-time digital payments by designing and deploying decisioning logic that blends ML scores with velocity features. You’ll translate fraud patterns into high-impact rules and partner across teams to optimize the risk stack. You’ll hunt emerging fraud schemes and shape end-to-end mitigation while preserving a frictionless user experience. This role combines data science input, product collaboration, and leadership-facing reporting to evolve risk appetite.

Retribuzione / Benefits

Private health insurance for you and family Stock Option Plan Relocation support Hybrid working policy Unlimited PTO Flexible working hours

Responsabilità

Design and implement real-time decisioning logic using ML scores and velocity features Develop and optimize high-performing fraud rules to balance false positives and fraud loss Investigate and mitigate emerging fraud schemes (ATO, social engineering)



Collaborate with Product and Engineering to define analytical requirements and data signals for new features Operationalize ML models with heuristic rules in the decisioning stack Analyze security measures to minimize user friction while maintaining protection Provide data-driven insights on rule efficacy and portfolio health to senior leadership

Requisiti fondamentali

3–7 years of experience in risk, payments, or credit sectors Strong SQL and Python skills for data analysis and strategy development Solid understanding of payment fraud dynamics and real-time decisioning environments Excellent communication skills and English fluency Nice to have: experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge teamwork curiosity ownership SQL Python PySpark

📌 Senior Fraud Data Analyst - Barcelona (Monza)
🏢 Satispay
📍 Monza