This project presents an analysis of the different studies that have been conducted on the topic of credit risk. Based on the information from the commercial file of a financial institution, a model has been developed to predict the probability of default using factor analysis as a selector of model variables and discriminant analysis as a tool to find the discriminating functions which make it possible to determine whether a customer is in compliance or not.