🛠 Tech Stack

💼 About This Role

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

🎯 What You'll Do

• Own data science strategy for underwriting and fraud detection systems.
• 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.

📋 Requirements

• 5+ years in data science in fintech or risk-intensive domains.
• Strong expertise in fraud detection or risk modeling.
• Advanced proficiency in SQL and Python for production models.
• Experience with statistical modeling and machine learning techniques.

✨ Nice to Have

• Familiarity with mobile app ecosystems or subscription-based digital products.
• Proven ability to operate independently in ambiguous environments.

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round· 60 min