UBRD Improves Scoring System

UrBC, Yekaterinburg, January 22, 2018. The Ural Bank for Reconstruction & Development (UBRD) came up with an improved scoring system recently. The bank introduced new software that ensures more precise processing of a borrower’s application, speeds up decision-making, and makes it possible to come up with tailor-made offers for specific customers, the bank’s press service reports.

SAS RTDM already comprises the more advanced versions of the technological solutions the UBRD has been relying on (scoring models, decision trees, and external scoring data) as well as offers access to quite new solutions such as neural networks and bio-verification services.

‘The bank already relies on the neural network technology to run its so-called loan factory: this is a business process based on modeling customers’ repaying behavior. The system can predict how likely a borrower is to default on their debts, which means we can select the more reliable applicants,’ says UBRD Risk Technology Management Director Alexander Pleshakov.

The software also provides an extended range of borrower evaluation parameters; this means the bank can offer every customer bespoke services that meet their financial needs, be it consumer loans and/or credit cards with different options.


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