DETECTING FIRST PARTY FRAUD ABUSE
First Claim
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1. A computerized method comprising:
- analyzing data associated with a credit line during an origination stage for predictive variables for use in a model for first party fraud;
flagging an account during the origination stage when at least one or more predictive origination stage variables of first party cause a fraud score to exceed a pre-described fraud likelihood threshold;
analyzing data associated with one or more previously flagged, post-booked stage credit lines for elements to be used in a model to predict first party fraud in one or more of the post-booked stage credit lines.
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Abstract
A computerized method includes analyzing data associated with a credit line during an origination stage for predictive variables for use in a model for first party fraud, and flagging an account during the origination stage when at least one or more predictive origination stage variables cause a model score to exceed a pre-defined fraud likelihood threshold. The computerized method also includes analyzing data associated with one or more previously flagged, post-booked stage credit lines for data elements or transactions to be used as variables in a model to predictive of first party fraud at the customer-level or in one or more of the post-booked stage credit lines.
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Citations
25 Claims
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1. A computerized method comprising:
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analyzing data associated with a credit line during an origination stage for predictive variables for use in a model for first party fraud; flagging an account during the origination stage when at least one or more predictive origination stage variables of first party cause a fraud score to exceed a pre-described fraud likelihood threshold; analyzing data associated with one or more previously flagged, post-booked stage credit lines for elements to be used in a model to predict first party fraud in one or more of the post-booked stage credit lines. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A computer system comprising:
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a first data analysis component for analyzing data associated with a credit line during an origination stage for predictive variables for use in a model for first party fraud; an origination account scoring component that flags an account during the origination stage when at least one or more predictive origination stage variables of first party may cause a fraud score to exceed a pre-described fraud likelihood threshold; a second data analysis component for analyzing data associated with one or more previously flagged, post-booked stage credit lines for transaction based profile variables to be used as variables in a model to predict first party fraud in one or more of the post-booked stage credit lines. - View Dependent Claims (21, 22)
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23. A machine-readable medium that provides instructions that, when executed by a machine, cause the machine to:
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analyze data associated with a credit line during an origination stage for predictive variables for use in a model for first party fraud; flag an account during the origination stage when at least one or more predictive variables of first party fraud cause a fraud score to exceed a pre-described fraud likelihood threshold; and analyze data associated with one or more previously flagged, post-booked stage credit lines for transaction based profile variables to be used as variables in a model to predict first party fraud in one or more of the post-booked stage credit lines. - View Dependent Claims (24, 25)
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Specification