🛠 Tech Stack

💼 About This Role

You'll develop loss forecasting and CECL models for SoFi's products like Personal Loans, Student Loans, and Credit Cards. You'll analyze complex datasets to understand performance and drivers for losses, and collaborate with cross-functional teams. This role offers the chance to impact data-driven decision-making at a next-generation financial services company.

🎯 What You'll Do

• Develop quantitative/machine learning models to forecast product losses
• Aggregate and synthesize datasets from multiple data environments
• Analyze complex datasets to understand performance and loss drivers
• Automate models and analytical dashboards

📋 Requirements

• 5+ years of statistical modeling experience with a Master's or PhD in a quantitative field
• Proficient in Python, SQL, and Tableau
• Experience in model development and data analysis

✨ Nice to Have

• Familiarity with bureau sandbox data
• Experience generating credit reporting dashboards
• Experience developing and productionizing models in AWS

🎁 Benefits & Perks

• 💰 Bonus and long term incentives
• 🏥 Competitive benefits
• 📈 Career growth at a rapidly growing startup

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interviews· Half day