🛠 Tech Stack

💼 About This Role

You'll be the founding Data Scientist within a fast-growing fintech initiative, designing the core data science strategy for underwriting, fraud detection, and risk modeling. Your work will directly influence real financial decisions tied to high-volume global app revenue streams. You'll collaborate with Product and Engineering to embed data-driven risk intelligence into production systems.

🎯 What You'll Do

• Own data science strategy for underwriting, fraud, and lead qualification.
• Build and validate machine learning models assessing financial risk.
• Develop anomaly detection and fraud prevention systems.
• Partner with Product and Engineering to integrate risk signals.
• Analyze datasets to improve credit models and product design.

📋 Requirements

• 5+ years of experience in data science within fintech or risk-intensive domains.
• Strong expertise in fraud detection, underwriting, or risk modeling.
• Advanced proficiency in SQL and Python with production ML experience.
• Strong understanding of statistical modeling and ML techniques.

✨ Nice to Have

• Familiarity with mobile app ecosystems or subscription-based digital products.
• Experience with credit, lending, or payments systems.

🎁 Benefits & Perks

• 🏖️ Competitive equity package in a Series C-backed company.
• 🏠 Fully remote and flexible work environment.
• ⏰ 4-5 weeks recommended annual time off.
• 💻 $2,000 USD home office setup allowance.
• 📚 $1,000 USD annual learning stipend.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interview· 2 hours