Abstract
The article discusses the system of mortgage lending in Russia, its economic and social significance, elements of infrastructure and the mechanism of functioning. It analyzes the possibility of various types of operational, credit, market risks in the formation of a high-quality loan portfolio and ways to minimize them. Methods are being developed to ensure a solvent segment of customers in mortgage lending, based on the use of artificial intelligence and machine learning.
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