Ex-Google CIO Just Raised $150 Million To Power A Service Launched Three Months Ago

It was only about three months ago when ZestFinance, the online lending startup founded by ex-Google CIO Douglas Merrill, launched a new loan service called Basix.

Basix is a lending service aimed at the "near prime" market, or people with credit scores just below levels that would qualify them for regular bank loans. Merrill says millions of "near prime" 

Americans have been underserved by banks, especially following the 2008 financial crisis, and Basix makes it easier for them to find affordable loans.

In the three months since its launch, Basix seems to have grown pretty fast - so much so that it just sealed a $150 million debt financing deal with Fortress Investment Group, one of the world's largest investment firms with roughly $70 billion in assets.

The new funding will be used for the consumer loans that Basix provides.

"It's a public validation that Fortress believes in our team and approach," Merrill told Business Insider. "It underscores their belief in our technology and that our technology will be a key element to transform this space going forward."

Thousands of signals

Basix is the newest product from ZestFinance and it's built on top of ZestFinance's underwriting technology which looks at tens of thousands of "signals," ranging from personal spending habits to social media reputation. Merrill claims it's a much more effective underwriting tool than the traditional credit score method, which takes into account less than 20 variables. Based on the user score it gets, Basix offers loans ranging from $3,000 to $5,000 over 3 years at a fixed APR from 26% to 36%.

"The essence of underwriting is trying to find the ability to repay and the willingness to repay, and that's really hard to do in the FICO-based traditional underwriting," Merrill added. "Our approach is to be able to capture a really rich view of all the applicants. Can you pay us back and if you can, will you pay us back? And that's what we're really good at identifying."

Source : techgignews.com