🛠 Tech Stack

💼 About This Role

You'll secure digital payments by architecting real-time defense strategies for Satispay's fintech platform. Your work will stop fraud in milliseconds while keeping user experience seamless. You'll collaborate with Data Science and Engineering to deploy ML-based decisioning.

🎯 What You'll Do

• Design and deploy real-time decisioning logic combining ML scores and velocity features
• Translate fraud patterns into high-performing rules balancing FPR and loss
• Proactively hunt for emerging fraud schemes and build mitigation strategies
• Partner with Product and Engineering to define analytical requirements

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• ❤️ Private insurance for you and family
• 💰 Stock Option Plan and meal vouchers
• ⚙️ Professional development programs and language courses
• 🌱 Unlimited PTO and flexible hours
• 👨‍👩‍👧 Enhanced parental leave and child sickness leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Cultural fit interview· 45 min