Staff Data Scientist

The role

We are looking for a Staff Data Scientist to join our Risk Analytics Modeling Team within Risk Analytics. This team member’s responsibilities include model development and performance monitoring supporting data-driven decision-making within our second line of defense. The Staff Data Scientist will play a key role in developing loss forecasting and CECL models across various SoFi products including but not limited to Personal Loans, Student Loans, and Credit Cards. They will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses, and provide insights on the drivers of losses. The role requires collaboration with Business Units, Finance, Accounting, Credit & Fraud Risk groups. The ideal candidate should have hands-on experience with loss forecasting methodologies (e.g., econometrics, survival modeling, Markov Chains) and strong knowledge of data science, statistical methodologies, and machine learning models (e.g., linear regression, decision trees, neural networks).

What you’ll do :

• Develop quantitative and machine learning models to forecast product losses
• Aggregate and synthesize datasets from multiple environments
• Analyze complex datasets to understand loss drivers
• Investigate external credit data for market trends
• Conduct loss sensitivity analysis
• Automate models and dashboards
• Monitor and recalibrate models as needed
• Collaborate with various teams to communicate and execute loss expectations

What you’ll need :

Nice to have :

Compensation and Benefits

The base pay range for this role is $153,600 - $264,000, with final offers based on experience, skills, and location. Additional bonuses and benefits are available. For more details, visit our Benefits at SoFi page.

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