FIN-890 Data Analytics & Credit Risk
This course provides introduction to quantitative business analytics methods and their applications in credit risk analysis. It covers the steps involved in building, testing, and validating various credit risk models, as currently practiced in modern lending financial institutions. The course delves both into the theoretical and the practical aspects of each particular class of models, and emphasizes hands-on application of analytical tools and construction of models. Integral part of the course is the development and improvement of business analytics skills through projects using firm-, industry-, and macroeconomic data. The projects involve data preparation, analysis, and visualization, as well as result interpretation and communication. The primary computing tool for the course is R, which is widely used for data analysis in the corporate world, and is growing in popularity.