Credit Lending
“Learn how to learn.” One of Zack Kass’, AI futurist and one of the keynote speakers at Vision 2024, takeaways readily embodies a sentiment...
With e-commerce booming and more transactions occurring online, the threat of chargeback fraud has never been more significant. In this article, we’ll explore chargeback...
In the dynamic consumer credit landscape, understanding emerging trends is paramount for fintechs to thrive. Experian’s latest fintech trends report provides deep insights into...
Open banking is revolutionizing the financial services industry by encouraging a shift from a closed model to one with greater transparency, competition, and innovation....
In the previous episode of “The Chrisman Commentary” podcast, Joy Mina, Director of Product Commercialization at Experian, talked about the benefits of a waterfall...
For lenders, first payment default (FPD) is more than just financial jargon; it’s a crucial metric in assessing credit risk. This blog post will...
To say “yes” to consumers faster and more efficiently, financial institutions need flexible access to instant income and employment verification data. In an episode...
This article was updated on March 12, 2024. The number of decisions that a business must make in the marketing space is on the...
This article was updated on March 11, 2024. As a lender, it’s important to understand a consumer’s credit behavior and whether it’s improving or...
This article was updated on March 7, 2024. Like so many government agencies, the U.S. military is a source of many acronyms. Okay, maybe...
This article was updated on March 6, 2024. Advances in analytics and modeling are making credit risk decisioning more efficient and precise. And while...
This article was updated on February 28, 2024. There’s always a risk that a borrower will miss or completely stop making payments. And when...
This article was updated on February 21, 2024. With the rise of technology and data analytics in the financial industry today, it’s no longer...
Developing machine learning (ML) credit risk models can be more challenging than traditional credit risk modeling approaches. But once deployed, ML models can increase...