In this episode of the LendAPI Partner Podcast, host Timothy Li, Founder & CEO of LendAPI, sits down with Dan Neimiec, Chief Credit Risk and Analytics Officer at 1sr Franklin Financial, to discuss the company's unique approach to consumer lending. Dan shares how his team is using internal performance data and AI tools to enhance predictive modeling, while still ensuring the human element and personal branch-customer relationships remain the core of their operation.
What You’ll Learn:
Dan’s experience managing risk at JP Morgan Chase during the 2008-2009 housing downturn, which highlighted the limitations of "backwards looking" credit models.
How an 85-year-old company like First Franklin strategically shifted to making data-driven decisions while maintaining its crucial community and branch-based customer relationships.
Why the company uses their lending models as "guard rails and guidelines" rather than a fully automated decision engine, emphasizing that humans make the ultimate lending decisions.
The primary product offerings and how the company uses direct mail models to target new customers.
How First Franklin uses "live checks" (or convenience checks) via direct mail to pre-qualified customers, followed by personal branch outreach to solidify the customer relationship.
Advice for aspiring credit risk analysts: focus on "business knowledge and the business intuition" because artificial intelligence now handles much of the data assembly and manipulation.
About First Franklin Financial
First Franklin Financial is an 85-year-old, privately owned financial services company that started in the early 1940s. The company operates nearly 400 branches and serves almost 400,000 customers, with approximately $1.2 billion in receivables. First Franklin primarily serves subprime consumers with credit scores in the 550 to 700 range. While maintaining a strong community presence with personal branch relationships, the company has recently implemented a strategic initiative to incorporate data-driven decisions and modern analytic models.
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