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

📌 Senior Data Analyst (Barcelona)
🏢 Enfint
📍 Barcelona