October 29, 2019

10:00am-10:45:00am PT/ 1:00pm-1:45pmET

Approximately 50 million U.S. consumers are in credit limbo. Their histories are too blemished to justify prime credit scores and the benefits afforded to demonstrably low-risk consumers, yet their income, borrowing behavior and forward trajectory suggest they’re a safer bet than consumers lower on the credit score spectrum. The challenge—and opportunity—for lenders is to differentiate consumers who exhibit persistently risky behavior from those who are moving past temporary setbacks in their financial life.

Austin Kilgore and Emmett Higdon will discuss why lenders struggle to extend loans and offer competitive pricing to these “near-prime” borrowers and how now, they’re increasingly turning to new underwriting techniques, such as alternative credit data and machine learning, to better understand this consumer segment.

Learn more about:

  • How near-prime borrowers an appealing target to grow loan volume
  • What alternative data is and how it can be used
  • How machine learning utilizes alternative data and how it’s different from traditional underwriting methods


Austin Kilgore
Director, Digital Lending

Emmett Higdon
Director, Digital Banking

NOTE: This is a client ONLY Javelin Advisory Services webinar. Please use your company email address to register for the webinar. We do not accept generic email addresses, such as Yahoo! and Gmail.