🛠 Tech Stack

💼 About This Role

You'll be the founding Data Scientist for a fast-growing fintech initiative, owning the underwriting and fraud detection strategy from the ground up. Your work will directly influence real financial decisions tied to high-volume global app revenue streams.

🎯 What You'll Do

• Define data science strategy for underwriting and fraud detection systems
• Build and maintain machine learning models assessing financial risk
• Develop anomaly detection systems for fraud prevention
• Integrate risk signals into decision engines and workflows

📋 Requirements

• 5+ years of experience in data science, ideally in fintech or risk
• Advanced proficiency in SQL and Python for production models
• Strong expertise in fraud detection, underwriting, or risk modeling
• Understanding of statistical modeling and machine learning techniques

✨ Nice to Have

• Familiarity with mobile app ecosystems or subscription-based digital products
• Experience in high-growth startups or ambiguous environments

🎁 Benefits & Perks

• 💰 Competitive equity package in a Series C-backed organization
• 🏠 Fully remote and flexible work environment across global locations
• 🏖️ 4–5 weeks of recommended annual time off
• 🖥️ $2,000 USD home office setup allowance
• 📚 $1,000 USD annual learning and development stipend

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min