Using Data To Predict Subprime Auto Performance

Explore how data science is utilized to help the auto industry better predict the performance of subprime auto loans. This underserved, underbanked, and previously considered risky segment is quickly becoming a viable asset class. What does this mean for the future of subprime? Chad Stilwell will answer questions about how data and analytics can be used to better understand and improve portfolio performance and more. Chad has played a key role in many of the industry’s firsts such as crowdsourced securitizations, launching a line of credit with a reducing interest rate, and developing a technology platform that provides a book value for subprime auto loans. New approaches are under consideration every day to fuel growth, provide access to knowledge, and the freedom to do so.

Key Takeaways:

• Define data science and how analytics are applied to the auto industry to make better business decisions.
• Demystify subprime auto finance to open this new and viable market segment.
• Highlight why these changes are transformative for the auto industry and how they impact lenders, dealers, and consumers.

Speakers