No time to lose. In 2019, lenders simply have to be smarter.

Posted on August 21, 2019

Inadequate credit scores. Tightening Demand. Changing Demographics. Can businesses grow without raising risks?

 

Despite rising FICO scores, credit card charge-offs are increasing.

In the first quarter of 2019, charge-offs among card-issuers increased to the highest level in seven years, even while FICO scores rose overall. When credit scores rise along with charge-offs, it’s time for lenders to re-evaluate the scores they’re relying on for lending decisions.

 

FICO scores no longer reflect consumers’ ability to pay their debts.

Credit scores may have risen, but that doesn’t mean high-scoring borrowers are on firm financial footing. 40% of U.S. households would have trouble raising $400 to cover an emergency.  Additionally, Goldman Sachs and Moody’s Analytics recently claimed certain FICO credit scores have been artificially inflated over the past decade.

 

Credit card debt is worsening for young Americans 

Specifically, 8.05% of outstanding credit card debt among 18 - 29 borrowers was delinquent by at least 90 days.  If young consumers, whose scores weren’t affected by the Recession, are struggling to make payments now, how will they fare when interest rates rise or the economy falters? 

 

Demand for credit is declining even as credit risk increases.

It gets worse. At the same time that credit risks are increasing, demand for credit is falling. According to the New York Fed, credit inquiries in the last six months have fallen to historical lows. 

 

Finding new growth will require greater risk

As risk grows, lenders who rely on traditional scores will be forced to limit their lending, increase their risk of losses, or miss out on the growing population of younger borrowers.

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Tags: lending, Financial Services, AI Lift, Accelitas, Artificial Intelligence

EGuide: Stop Rejecting Valuable Customers

Posted on September 29, 2017


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Tags: Financial Services, AI Lift

Lessons from Finovate 2017

Posted on May 22, 2017

At this year’s Spring Finovate conference in San Jose, California, the consensus among attendees seemed to be that this year’s event was interesting, but hardly groundbreaking. The presentations from roughly 60 companies were mostly developments and refinements of ideas that had been presented in earlier conferences.

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Tags: mobile banking, Machine Learning, lending, Financial Services, Finovate, API, Employee Efficiency

Beyond Big Data: Digital Transformation Comes to Financial Services

Posted on April 5, 2017

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Tags: Machine Learning, Big Data, Financial Services, Digital Transformation

 

 

 

 

 

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