Staff Data Scientist - Loss Forecasting & Portfolio Analytics

The role

We are looking for a Credit Risk Manager/Staff Data Scientist to join our Loss Forecasting and Risk Analytics Team within Sofi’s Credit team. This team member will work in the team that is responsible for forecasting losses across various SoFi lending products, including Personal Loans, Student Loan Refinances and Private Student Loans. The Staff Data Scientist will contribute to the performance analysis of SoFi lending products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights into the drivers for losses. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit, and Independent Risk Management groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages, as well as strong problem‑solving and communication skills. The ideal candidate will have expertise in analyzing large datasets and developing models using Python, SQL, and other statistical analysis packages to get to the truth behind the data.

What you’ll do

Develop loss projections for SoFi’s lending products, including Personal Loans, Student Loan Refinances, and Private Student Loans.

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 framework 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.

Be inspired by dynamic leaders and our rapidly growing business. We are recruiting the best, brightest, and most passionately quantitative team members.

What you’ll need

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

Nice to have

Experience in developing credit risk strategies

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. Pay range: $153,600 - $264,000 Payment frequency: Annual. This role is also eligible for a bonus, long‑term incentives and competitive benefits.

Equal Employment Opportunity

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

Special Provisions

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

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