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Improvement of the Bank's Policy of Retail Risks Based on Analysis of Information from External Sources

Student: Sakharov Daniil

Supervisor: Evgeny Isaev

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Master)

Year of Graduation: 2020

Loans is one of the most popular services in Russia. Nevertheless, banks face the problem of the lack of timely payments on loans. This research is devoted to the analysis of the use of external data to predict the risk of default of the borrower. As a result of the study, a proposal was created to improve the credit policy of the bank, which allows to reduce the risks of subsequent issued contracts.

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