🛠 Tech Stack

💼 About This Role

You'll architect real-time defense strategies for digital payments at a fast-growing fintech. You'll design and deploy logic combining ML scores with velocity features to make millisecond decisions, securing 6 million users.

🎯 What You'll Do

• Architect real-time decisioning engine with ML and velocity features
• Develop precision rules balancing false positive rates and fraud loss
• Proactively hunt for emerging fraud schemes (ATO, social engineering)
• Optimize the decisioning stack with product and engineering teams
• Calibrate ML model scores with heuristic rules

📋 Requirements

• 3-7 years in risk, payments, or credit sectors
• SQL proficiency for data analysis
• Python proficiency for data analysis and strategy development
• Solid understanding of payment fraud dynamics

✨ Nice to Have

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

🎁 Benefits & Perks

• ❤️ Health Private insurance for you and family, psychological support
• 💰 Financial resources Stock Option Plan, Meal vouchers, Relocation support
• ⚙️ Growth Professional development programs, Language courses
• 🌱 Flexibility Unlimited PTO, Hybrid working policy, 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. 3Hiring Manager· 45 min