Big data helping to provide credit to young borrowers

Big Data Scoring determines creditworthiness based on data available online.

  • 8 years ago Posted in
A new cloud-based service that lets consumer lenders improve loan quality and acceptance rates through the use of big data has launched in London. 

Founded in Scandinavia three years ago, Big Data Scoring is a tool for use by banks and financial institutions to determine the creditworthiness of individuals based on data available online. It does this by tapping into the broadest sources of information from across the internet, using all publicly available information. This intelligent research brings lending into the digital information age, allowing lenders to make informed and more responsible credit decisions.  
 
Credit scoring millennials and non-UK nationals has always been tricky for lenders: their lack of credit history means that lenders usually get it wrong, either offering too little or too much credit. The former means missed opportunities for institutions, while the latter can expose them to bad debt.
 
This lack of knowledge is reciprocated by the consumers themselves. A recent YouGov report, commissioned by Big Data Scoring, found that a third of people under 30 (33%) don't know what a credit score and almost half (47%) understood the concept of a credit score, but didn’t know their own.
 
The poll revealed that this generation are more likely to have a cash ISA (34%) than a credit card (29%); a third have no debt at all (33%) and a quarter (25%) had been declined a financial product or loan.
 
Non-UK nationals also struggle to get credit when they move to the UK. There are over seven-and-a-half million foreign nationals living in Britain and that number is increasing. This is a sizeable market that financial institutions have difficulty in tapping into – despite the majority being in full-time work.
 
The solution is to do intelligent research of a loan applicant online, to help build a clearer profile which helps assess their creditworthiness. Used in conjunction with existing scoring methods, this results in more accurate scores meaning greater opportunity to lend and a reduction in risk.
 
Erki Kert, CEO at Big Data Scoring, commented: “Young people have come into adulthood with an almost immediate online presence, unlike previous generations. We have seen this can be as much, sometimes more, of a barometer of their creditworthiness as the traditional approach applied to older people. Increasingly, banks are starting to use this alternative source of information to support with their credit checking; it should eventually become an industry standard.
 
“Banks and lenders in the UK have a duty to lend responsibly and sensibly, yet they can’t always do this because many are still relying on outdated systems of credit scoring. In essence this is luddite banking, despite financial institutions having more data at their fingertips than ever before.
“Too much credit is a consequence of the current failings when it comes to credit scoring young people and highlights the need for action to ensure people are given what they need but also what they can afford.”
 
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