Staff Data Scientist, Loss Forecasting

September 5

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SoFi

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SoFi helps you save, spend, earn, borrow, invest, and protect your money–all in one app. NMLS 1121636

Refinancing Student Loans • Student Loan Consolidation • Mortgages • Mortgage Refinancing • Personal Loans

1001 - 5000

Description

• Develop loss forecasting models and/or projections for SoFi’s lending products, including Personal Loans, Student Loan Refinances, Private Student Loans, and Credit Cards. • Draw strategic insights from data using statistical analysis tools to inform decisions and support SoFi’s overarching strategic goals relative to loss prevention and profit optimization. Bring new ways of thinking, data sources, technologies, and capabilities to SoFi. • Develop stress testing models using macroeconomic data to provide insights into the business and enable the company to plan proactively for economic downturns. • Improve forecasting accuracy and productivity. Ensure good documentation and control of forecasting methodologies and procedures. • Explore external credit data to identify trends in the market and industry. • Work with Business Units, Operations, Product, Capital Markets, Finance, Accounting, and Risk partners to ensure correct loss expectations and trends of losses are communicated effectively and executed appropriately.

Requirements

• 7+ years of related experience with a Master’s or PhD degree. • Proven advanced analytical and technical skills in conducting sophisticated data analysis and building loss forecasting models and projections. • Business acumen and work experience in the consumer lending business (loans or credit cards). • Proficient in Python, SQL & Tableau. • Strong communication and presentation skills. Demonstrated ability to synthesize and communicate analysis to business partners and senior management. • High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment. • Prior experience in credit loss forecasting is a must.

Benefits

• Comprehensive and competitive benefits including health and wellness programs. • Retirement savings plan with employer matching. • Employee stock option plan. • Flexible work hours and opportunities for remote work. • Paid time off and holidays.