NBKI Now Provides FICO Credit Score to Russian Lenders
Fair Isaac tailors FICO Score to growing Russian market using reliable, depersonalized Russian data
(Moscow, Russia and Minneapolis, Minnesota, USA) - National Bureau of Credit Histories (NBKI), the premier credit bureau in Russia, and Fair Isaac Corporation (NYSE:FIC), the leading provider of analytics and decision management technology, today announced the immediate availability to Russian lenders of the FICO® Score from NBKI. The quality of NBKI credit data enabled Fair Isaac analysts to accelerate their configuration of the FICO® Score for the Russian market in order to meet lenders’ growing demand for predictive analytics that assess consumer credit risk with a high degree of precision.
“The FICO Score produced at NBKI is important for Russian banks and consumers because it makes the credit bureau data much more usable with other internal bank systems and scores. This objective new measure gives banks a much more accurate view of a consumer’s ability to repay credit. The new FICO Score means that banks can now give access to credit to consumers who would in the past have been declined credit while better identifying risky consumers who are likely to be unable to repay credit,” said Alexander Klychkov, President of NBKI .
“The quality of NBKI’s credit data and the flexible design of our FICO scoring model enabled us to customize this highly predictive score in three months for the evolving Russian market,” said Tom Quinn, Vice President of Global Scoring for Fair Isaac. “Lenders throughout Russia now have access to the same premier FICO score for measuring credit risk that has become the industry standard in other national economies.”
Lenders can use FICO® Scores to more confidently tailor their credit product offerings to the risk profile of individual consumers. In this way lenders can safely increase their penetration of the market, reduce their risk exposure, and improve their profits in a controlled and customizable manner. The score is complementary to custom application and behavior models and can be used alongside internal scores at all stages in the credit lifecycle.
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