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

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