ОписаниеSatispay 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 appetiteТребования- 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 knowledgeУсловия- 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- Adaptable 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 (Barcelona)
🏢 Enfint
📍 Barcelona