Making a decision on granting a loan based on a predictive model using artificial intelligence

When deciding on a loan, credit scoring is widely used. The purpose of the study is to develop approaches to the use of artificial intelligence methods in credit scoring. This article discusses the scoring of credit histories. To predict the case of non-repayment of a loan, “machine learning” will be used, in particular, the RandomForestClassifier “decision tree” method, which allows predicting a possible default of the borrower with a high degree of probability. The software of the mobile application has been developed, which makes it possible to automate and speed up the decision-making process on granting a loan. The developed mobile application can be used by both banks and potential borrowers in order to intelligently support decision-making on the possibility of issuing a loan. The developed program can be attributed to digital financial instruments based on artificial intelligence technologies. The article will be of interest to masters, graduate students, teachers, as well as employees of financial institutions involved in the implementation of digital instruments in financial and credit operations.