DIGITALIZATION OF CREDIT RISK ASSESSMENT IN RETAIL LENDING


As part of its regular risk management, the Bank launched the best IT technologies and the best risk management practices. In consumer loans and car loans 80% - 85% of all credit decisions are made automatically as well as 70% of credit decisions in mortgage lending.
The Bank strives for the best experience in the market, so that a credit decision for a client who has applied to the Bank is made in real time. For this purpose, the Bank uses both a set of traditional customer data and big data analysis tools. The Bank collects a large amount of information from the client's questionnaire, analyzes the client’s own transactions within the Bank, which is an additional element of behavioral scoring. In addition, the Bank takes into account customer information from government agencies, as well as his/her credit history.

In early 2018, the elements of big data analysis were introduced, and over the last year they were implemented, demonstrating their effectiveness. The bank actively uses information about customer activity on the Internet, which is also an element of transaction scoring, which has increased the predictability of models.

Mortgages

Consumer loans
Car loans

Risk assesment tools: In-House vs Outsource