🛠 Tech Stack

💼 About This Role

You'll join Satispay's team to build real-time fraud defense strategies for a growing digital payment platform with 6 million users. Your work will directly reduce fraud losses while maintaining a seamless user experience, collaborating with Product, Engineering, and Data Science teams.

🎯 What You'll Do

• Design and deploy real-time decisioning logic combining ML scores and velocity features
• Translate fraud patterns into high-performing rules optimizing FPR vs. gross fraud loss
• Proactively hunt for emerging fraud schemes like ATO and social engineering
• Collaborate with Product and Engineering on analytical requirements for new features

📋 Requirements

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

✨ Nice to Have

• Experience with Machine Learning or Data Science
• Knowledge of PySpark or GraphQL

🎁 Benefits & Perks

• ❤️ Health: Private insurance, psychological support, mental health workshops
• 💰 Financial: Stock option plan, meal vouchers, relocation support
• ⚙️ Growth: Professional development programs, internal mobility, language courses
• 🌱 Flexibility: Unlimited PTO, hybrid working, flexible hours
• 👨‍👩‍👧 Family: Enhanced parental leave, additional leave for child sickness

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Final interview· 45 min