This article describes an architecture that uses Azure Machine Learning to predict the delinquency and default probabilities of loan applicants. The model's predictions are based on the fiscal behavior of the applicant. The model uses a huge set of data points to classify applicants and provide an eligibility score for each applicant.
https://learn.microsoft.com/en-us/azure/architecture/example-scenario/ai/loan-credit-risk-analyzer-default-modeling
