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 xcskxlj 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

📌 Data Analyst In Payment Fraud (Barcelona)
🏢 Confidential
📍 Barcelona