Union Credit's platform provides credit unions with new, credit-worthy members by aggregating consumer data and matching it with various credit union fields.
After the financial crisis banks pulled back from lending to anyone they deemed a potential risk; this helped spur many...
Originators of all stripes are using machines in the underwriting process. Understanding the capabilities and how best to underwrite in a more automated way is something lenders are still working on.
At LendIt USA 2016 Douglas Merrill of Zest Finance discusses the credit and underwriting process and how consumers are really looking for an experience that automates the choice of loans for them based upon the existing data available.
Douglas believes that speed matters but nobody knows that it matters, when consumers come to the lender for a loan they are not looking for a loan but for life certainty. The loan is just a product, a seamless and improved experience is what the borrower wants.
We should be discussing loans in seconds and microseconds, not days or weeks. Machines can help to automate the process based on your existing data set and a borrower should not need to fill out a loan application. Computation, storage and bandwidth are free and infinite. The things we can do with data are exciting and seemingly endless.
The current underwriting has been stuck in the 70's. Data has enabled us to change underwriting and develop new types of products; machines can help to make this happen. Why do lenders make you apply for a loan? Lenders know enough about you to know what you should need and they don't need you to fill out an application at all.
An automated underwriting process and the amount of data available through traditional and nontraditional means will help to continue the advancement in credit. At LendIt USA 2017 we will be covering the latest innovations in credit and underwriting. Learn what is coming next from the top originators, credit bureaus and service providers.
Check out the full video here:
Bias in credit underwriting is an issue some worry will be exacerbated by AI others believe it is the only way forward. At Fintech Nexus USA 2022, approaches were discussed to mitigate concerns.
Data aggregators of all types are gaining more traction and investment; Finicity is one example with investment from Experian; Nick Thomas of Finicity characterizes the credit-decisioning space as a new frontier for data aggregation; with this new frontier available for investment, the industry is likely to see success in integrating new sources of data and faster technology solutions for credit modeling and approvals. Source
Anil Stocker and Aman Mehra from MarketInvoice talk with AltFi about how marketplace lenders are revolutionizing the credit underwriting process; specifically noting the speed of approvals from sophisticated credit underwriting models; also the seamless aggregation and decision process which Stocker says is faster and more efficient than banks; the success of the firm's underwriting has helped it to maintain a steady client base and also gain endorsement from the UK's British Business Bank. Source