Supported by:

Embedded Computing

Next Event


Mos Days Hrs

8 June 2022

10am - 5pm

9 June 2022

10am - 4pm

LV Convention Center

Supported by:

Embedded Computing

8-9 June 2022

LV Convention Center

Exhibitor Spotlight: Credolab

This blog was provided by Credolab 

It’s time for fairer credit scoring for every American

It’s strikingly unfair: the Americans who most need credit find it hardest to access it.

In 2019, the New York Federal Reserve released a research report that painted a bleak picture of financial inclusion in the United States.

Too many Americans have no access to credit

The FICO score — which is used in 90 per cent of all consumer credit decisions in the US — has long been a source of frustration for many Americans.

To put it bluntly, FICO has not been a friend to Americans who live in rural areas, those on low wages, and those who struggle to find full- or part-time jobs.

And the credit industry as a whole has particularly failed people of colour across the country. The New York Federal Reserve report mentioned earlier shows:

    • More than 20 per cent of Mississippi residents live in counties assessed as ‘credit insecure’, higher than any other state in the country
    • About 15 per cent of Louisiana residents live in counties where it’s hard to get credit
    • The countries with the least credit access are those with nearly 60 per cent of the population who are not white.

The credit industry in the United States should be ashamed of these figures. This is not good enough. It’s clearly long past time for a radical shake-up of credit scoring and reporting.

Fraudsters’ time may be up

Widespread financial exclusion is not the only problem that plagues the path to fair and equal credit in the United States. The other is fraud.

It’s about so much more than stolen identities. Lenders in the United States have long struggled to deal with phoney or synthetic identities. As Angela Strange explained, fraudsters have randomly picked almost any nine-digit number that doesn't start with nine to land upon a legitimate social security number that lets them apply for a loan.

As Strange detailed, the first time the lender may catch this person as credit invisible is when they ask bureaus about them. However, the next lender will ping the credit bureau, and the credit bureau will ‘count’ the first-time lender’s previous enquiry as a record. This scant information has enabled fraudsters to get their foot in the door.

Can smart data turn the tide?

Wouldn’t things be better if we had an unbiased, fair scoring system that fraudsters cannot falsify?

Enter smart data. If we use smart data well, we have the potential to create a society where the fear of rejection is the last thing in under-served borrowers’ minds. Similarly, lending businesses will have the confidence to say yes, without fear of being cheated by fraudsters.

Financial institutions can confidently assess the creditworthiness of their customers even in the absence of a reliable credit bureau score by using alternative data, which is gathered with the consent of potential borrowers.

Credolab’s credit scoring can find creditworthy customers in any market and for any unsecured lending product. The algorithm calculates real-time credit risk scores by looking at how each customer uses their smartphone, not where they live or what kind of gig they do to make a living.

Find more related articles at credolab’s Resource Centre here.
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