🛠 Tech Stack

💼 About This Role

You'll be the analytical backbone supporting business, growth, product, and risk teams, transforming complex data into strategic insights that drive multi-functional success across our lending ecosystem. You'll develop churn and propensity models to detect disengaged users and recommend data-driven interventions. This role stands out for its end-to-end ownership of analytical initiatives and mentorship opportunities.

🎯 What You'll Do

• Analyze multi-dimensional data to identify user patterns and risk signals
• Develop churn and propensity models to improve retention
• Lead campaign analytics by building user segments
• Partner with product teams to guide feature development using cohort analysis

📋 Requirements

• 4+ years of hands-on experience in data science or analytics
• Bachelor's or master’s degree in a quantitative field such as engineering or statistics
• Strong analytical skills to interpret diverse datasets and translate insights into solutions
• Proficiency in Python and/or SQL with experience handling large datasets

✨ Nice to Have

• Experience with distributed computing tools
• Experience in lending or fintech

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4On-site (if applicable)· 3 hours