Overview In this role you will help secure digital payments by designing real-time defense strategies. You will work closely with Product and Engineering to shape the decisioning stack and translate fraud patterns into high-impact rules. You'll balance security with a smooth user experience, reducing friction while protecting users.

This position offers fast-paced collaboration and the chance to influence risk strategy at scale in a growing fintech platform. Compensaciones / Ventajas Private health insurance for you and your family Stock option plan Relocation support Professional development programs Unlimited PTO Hybrid working policy with flexible hours Responsabilidades Architect real-time decisioning strategies for fast-millisecond decisions Develop precise, high-performing fraud rules to balance false positives and fraud loss Investigate and mitigate emerging payment fraud schemes (e.g., ATO, social engineering)



Collaborate with Product and Engineering to define analytical requirements for new features and data signals Operationalize ML models with heuristic rules in the decisioning stack Assess security measures to minimize unnecessary user friction while maintaining protection Provide strategic performance reporting to leadership on rule efficacy and risk posture Requisitos principales 3–7 years of professional experience in risk, payments, or credit Strong SQL and Python for data analysis and strategy development Solid understanding of payment fraud dynamics and real-time decisioning environments Excellent English communication skills Nice to Have: Machine Learning, Data Science, PySpark, GraphQL teamwork problem-solving curiosity SQL Python real-time decisioning

📌 Data/Fraud Analyst (Barcelona)
🏢 Satispay
📍 Barcelona