Fraud Data Analyst

Satispay is seeking a Fraud Data Analyst to secure the future of digital payments by architecting sophisticated real-time defense strategies. As a Fraud Data Analyst, you'll be responsible for designing and deploying logic that combines ML scores with velocity features to make millisecond decisions, translating complex fraud patterns into high-performing rules, and more.

Requirements

• Between 3 and 7 years of professional experience in the risk, payments, or credit sectors
• Highly skilled in SQL and Python for data analysis and strategy development
• Solid understanding of payment fraud dynamics and experience working with real-time decisioning environments
• Excellent communication skills and fluency in English

Benefits

• Private insurance for you and your family
• Psychological support with Serenis
• Mental health workshops
• Stock Option Plan
• Meal vouchers
• Relocation support
• Professional development programs
• Internal mobility
• Language courses with Preply
• Unlimited PTO
• Hybrid working policy
• Flexible working hours
• Enhanced parental leave
• Additional leave for child sickness