Описание Satispay is building a financial platform that makes financial services easy and accessible for over 6.5 million users. The company started with payments and has expanded into benefits, investing, and cards. Задачи * Architect and deploy real-time decisioning logic combining ML scores with velocity features * Translate complex fraud patterns into high-performing rules while balancing False Positive Rates and Gross Fraud Loss * Hunt for emerging fraud schemes, including ATO and social engineering, and develop end-to-end mitigation strategies * Partner with Product and Engineering to define analytical requirements for new features and third-party data signals * Work with Data Science to operationalise machine learning models and combine model scores with heuristic rules * Analyse security measures and design dynamic friction strategies for a seamless user experience * Monitor rule efficacy and portfolio health * Present data-driven recommendations to senior leadership to evolve risk appetite Требования * 3-7 Years of professional experience in risk, payments, or credit * Strong SQL and Python skills for data analysis and strategy development * Solid understanding of payment fraud dynamics * Experience working with real-time decisioning environments * Excellent communication skills * Fluent English * Nice to have: Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge Условия * Private insurance for the employee and family * Psychological support with Serenis and mental health workshops * Stock Option Plan * Meal vouchers * Relocation support if moving countries * Professional development programs * Internal mobility * Language courses with Preply * Unlimited PTO * Versátil working hours * Three days per week in-office, with the option to request extra remote time * Enhanced parental leave * Additional leave for child sickness #J-18808-Ljbffr

📌 data analyst in payment fraud (Cataluña)
🏢 Satispay
📍 Cataluña