Experteer Overview
As Fraud Data Analyst at Satispay in Barcelona, you will architect real-time defense strategies to secure digital payments. You’ll design a decisioning engine that blends ML scores with velocity signals to enable millisecond decisions. You’ll translate fraud patterns into high-performance rules and proactively hunt emerging schemes. You’ll collaborate with Product and Engineering to refine the decisioning stack and operationalize ML models, all while keeping a frictionless UX. This is a fast-moving, impact-focused role with ownership and growth potential.
Retribuzione / Benefits
* Design and deploy real-time decisioning logic using ML scores and velocity features
* Translate fraud signals into high-performance rules balancing FPR and fraud loss
* Investigate emerging fraud schemes (ATO, social engineering) and develop end-to-end mitigations
* Collaborate with Product and Engineering to define analytical requirements for new features and data signals
* Operationalize ML models with heuristic rule integration
* Assess security controls to minimize unnecessary user friction while maintaining protection
* Monitor rule performance and portfolio health, reporting insights to leadership
Responsabilità
* 3–7 years of experience in risk, payments, or credit sectors
* Proficient in SQL and Python for data analysis and strategy development
* Strong understanding of payment fraud dynamics and real-time decisioning environments
* Excellent communication skills and English fluency
Requisiti fondamentali
* Private insurance for you and your family
* Stock Option Plan
* Relocation support
* Language courses with Preply
* Unlimited PTO
* Hybrid working policy
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