Affordability innovator Castlight Financial has developed a new open-banking affordability score, providing access to borrowing for the first time for the 5.8 million people, in the UK alone, with “thin credit files”.
The company, which has been pioneering open banking based affordability products for the last three years, including the Affordability Passport and Categorisation as a Service (CaaS), has now taken the open banking technology currently being used for traditional credit assessment and unlocked a powerhouse of additional functionality.
The new affordability score, CastScore, is not dependent on a customer having a history of credit in order to demonstrate creditworthiness and instead uses open banking technology to analyse a customer’s transactional data in real time and score their likelihood of paying credit back.
The AI that powers the CastScore technology has been validated on actual loan performance data, supplemented by expert analysis of spending trends, with high street banks. CastScore then merges this information with transaction analytics, sourced from an up-to-the-minute review of the customer’s actual income and spend as well as a more complex analysis of lifestyle and discretionary spending.
CastScore is currently being piloted by three of the UK’s High Street banks.
Says Phil Grady, CEO of Castlight Financial: “CastScore looks at and categorises every debit and credit and so it allows us to fill in the gaps in traditional credit data reporting and give customers, particularly those with thin files, a chance to be fairly assessed. Traditional credit scoring focuses on the consumer’s future credit behaviour being similar to their past performance through looking at historic credit reference agency data. The CastScore creates an up to date view of a consumer’s available disposable income and is able to predict future payment performance using more recent and relevant data. It truly represents a revolution in how lenders may view all consumers, from those with established credit profiles to those with thin files.
For the first time someone with a thin credit file will be able to demonstrate, at the touch of a button, not only that they have a regular income coming in, and that they are financially robust, but they will be able to show a set of exemplary financial behaviours which make them a very good credit risk indeed. For a financially cautious millennial with little credit history but enough money in the bank, CastScore could be the difference between securing a mortgage or being stuck in the generation rent trap.”
But it’s not only the millions of people with little or no credit footprints who will potentially benefit from the CastScore technology. A predictive CastScore, even somewhere in the middle of the range, could be used to augment a traditional credit score and radically improve it.
Says Grady: “The reason that a CastScore rating, taken by a lender in conjunction with a traditional credit score can improve a customer’s credit score is because CastScore isn’t just reviewing a history of credit repayment performance. It is instead based instead on an individual’s nuanced behaviours. The open banking technology scans all the customer’s transactional information and assesses whether the customer is a saver or a spender, do they run a tight ship or exceed their means and even are they a homebody or a party animal. It will also raise good and bad financial behaviour flags. A good flag might be that discretionary spending on charitable giving and personal health has increased. A bad flag might be unpaid bills, bank charges, increased gambling or payday loans.”
Machine Learning Powerhouse
Castlight’s machine learning powerhouse merges both the transactional analytics and the customer’s financial “story” into the CastScore which gives lenders all the enhanced predictive information they need to make a lending decision for customers with thin or no credit files. And for customers with traditional credit files, it significantly augments their financial profile, providing all parties involved with more insight, less risk and more lending scope.
An example of CastScore’s insight might be a customer who takes out a finance plan for a new car in January. This commitment may appear on a traditional credit score a few months later, if the credit score has good coverage, and only then will the credit score be updated. However, the CastScore score will update as soon as payments start being made from the account, providing financial decision makers with up to the minute information.
CastScore assesses a customer’s full financial big picture. So, whilst the new car payments may be greater than the customer’s previous car payments, there may be reductions in insurance premiums. The customer may also have taken out roadside assistance, which is statistically a good indicator. By taking factors like this into account CastScore could demonstrate that the new car was a sensible investment that in the long run cuts costs and increases financial stability.
CastScore’s algorithms have been uniquely trained to analyse the hard numbers but also to reach out into the complexity of a customer’s real life and set credit and income movement in context. CastScore’s AI brain has the computing power to demonstrate that, in a particular case, a new car may not just be an item to put on a list of credit obligations, it could be a sensible investment that in the long run creates stability in the family life and cuts costs. Ultimately that means that when the entire credit scenario is computed, it will actually factor positively in the generation of a good CastScore.
As CastScore is being piloted with the UK’s banks as a means of enfranchising customers or helping them augment their credit scores, Castlight Financial is already developing CastScore to provide the banks themselves with significant competitive edge in a busy market place.
Says Grady: “If traditional credit scoring provides a snapshot of a customer’s affordability, CastScore provides a 3D movie. That means that any bank offering CastScore to customers is going to be able to use the enhanced modelling system to identify risk more accurately and ultimately offer better credit terms. Credit risk teams will also be able to use CastScore for ongoing control and monitoring of customers’ finances, providing an early warning system of potential problems and allowing them to update their risk models and limits if needed.
“Open banking has already revolutionised the way we think and bank. But it’s a massive iceberg, with a huge percentage of its capability still to be exposed and exploited. By harnessing the full potential of open banking, we are powering a potential revolution in credit scoring and the wider world of banking. I believe the CastScore can help both lenders and customers access better, safer credit as well as enfranchising the millions of people with thin credit.”