Abstract: Systems and methods are provided for analyzing disparate treatment in financial transactions. Data processing software instructions may be used to process lending-related data to identify a plurality of primary factors and one or more secondary factors for use making a lending-related decision. Model facilitation software instructions may be used to receive one or more relationships between the primary factors and the one or more secondary factors, wherein the relationships define criteria in which one or more positive secondary factors will compensate for a negative primary factor in making the lending-related decision. Model generation software instructions may be used to analyze lending-related data based on the primary factors, secondary factors and the one or more relationships.

Abstract: In accordance with the teachings described herein, computer-implemented lending analysis systems and methods are provided. A pre-processing module may be used to organize loan applicant data into a plurality of applicant groups based on one or more demographic factors, wherein a protected class is identified from the plurality of applicant groups. An index generation module may be used to calculate a plurality of disparity indices for the protected class by comparing lending-related data for the protected class with lending-related data for one or more control groups selected from the applicant groups. An indicator generation module may be used to calculate one or more singular indicators for the protected class by comparing the disparity indices with one or more reference indices. The indicator generation module may be further used to calculate a global indicator as a function of a plurality of singular indicators.