The aim of the research described is to find the ways of improving the development algorithms for the model of probability of default of corporate borrowers. The author suggested such approaches as segmentation of the loan portfolio and accounting macroeconomic cycles, which will improve the predictive ability of the model in the process of its development. Barriers to the implementation of these approaches, caused by the lack of input data, are determined, and the ways of overcoming them are proposed.