System and method for automated detection of never-pay data sets

摘要

Data filters, models, and/or profiles for identifying and/or predicting the never-pay population (for example, those customers that make a request for credit and obtain the credit instrument but over the life of the account, never make a payment) can be useful to various commercial entities, such as those issuing mortgages, home equity lines of credit, consumer or business lines of credit, automobile loans, credit card accounts, or those entities providing services, such as utility services, phone services, and the like.

主权项

1. A computerized method comprising:
receiving, by a server computer through a communication link, data associated with application of a credit line during the application stage; analyzing, by the server computer, the data for predictive variables for use in a model for calculating a party fraud score, wherein the predictive variables include at least one of: previously unpaid debt obligation, recent bankruptcy, or high number of recent delinquencies on one or more credit lines; analyzing data associated with one or more previously flagged, existing credit lines for elements to be used in the model for calculating the first party fraud score; transmitting, from the server computer to a remote computer through a communication link that renders a graphical user interface on a display device of the remote computer, an electronic indication regarding the credit line when at least one or more of the predictive variables or the elements analyzed cause the first party fraud score to exceed a pre-described fraud likelihood threshold, wherein the first party fraud score is indicative of a propensity to never make payment on the credit line, and wherein the indication regarding the credit line is used to make a real-time decision regarding approval or denial of the credit line application.