Description
Satispay is hiring a Senior Fraud Data Analyst to protect millions of digital-payment transactions in real time. The role designs and deploys real-time decisioning logic, develops fraud rules, investigates emerging payment-fraud schemes, calibrates machine-learning and heuristic models, optimizes decisioning infrastructure, and reports risk performance to senior leadership. Candidates need at least six years of experience in risk, payments, or credit, strong SQL and Python skills, knowledge of real-time decisioning, and fluent English; experience with machine learning, data science, PySpark, or GraphQL is a plus. The position requires relocation to the Barcelona office and follows a hybrid policy with three days per week in the office.
