Staff Data Scientist-Credit Risk Strategy

The role

We are looking for a Credit Risk Manager/Staff Data Scientist to join our Risk Analytics and Verification Strategy within SoFi’s 1LOD Credit team. This team member will work in the team that is responsible for Risk Analytics and Verification Strategy across various SoFi lending products, including Personal Loans, Student Loan Refinances, and Private Student Loans. The Credit Risk Manager will contribute to the performance analysis of SoFi lending products and provide insights into the drivers for losses and recommendations for strategy enhancement opportunities. Additionally, she or he will be responsible for independently developing and implementing income and employment verification strategies to balance a smooth user experience with effective loss prevention. 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 and strong problem-solving and communication skills. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using statistical analysis tools to get to the truth behind the data and inform decisions.

By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. 

What you’ll do:

• 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 income and employment verification strategies to enhance the verification funnel customer experience and increase conversion rates while maintaining a balanced approach to risk, business revenue, and customer experience.
• Design and execute A/B testing initiatives to continuously identify opportunities to improve customer experience while effectively managing credit and fraud risk
• Explore external credit data to identify trends in the market and industry.
• Collaborate with business partners such as Business Units, Operations, Marketing, Finance, Legal, and Compliance to deliver successful business results. Partner closely with implementation teams to deploy new strategies accurately.
• Be inspired by dynamic leaders and our rapidly growing business. We are recruiting the best, brightest, and most passionate quantitative team members.

What you’ll need:

• 7+ years of experience in credit risk management roles, with at least 3 years of experience specializing in fraud and verification strategies within the consumer lending industry.
• Proven advanced analytical and technical skills in conducting sophisticated data analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems
• Direct experience in the credit strategy life cycle, including ideation, strategy and decision tree development, P&L, presentation, implementation validation, and post-implementation monitoring
• 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

Nice to have:

• Experience using credit bureau tradeline data
• Experience in credit loss forecasting