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Abstract

A method for predicting financial risk is disclosed. The method includes receiving data inputs on a first computing system. The data inputs includes historical data associated with at least a first account issued to an account owner, and the historical data includes historical transaction information for the first account. The method also includes generating a predictive model based on at least the historical data, receiving a current transaction authorization request associated with the first account on the first computing system, and generating a risk score by applying the predictive model to data associated with the current transaction authorization request. The current transaction authorization request is denied when the risk score indicates an unacceptable level of risk. In one embodiment, the data inputs further include performance data that is at least partially indicative of past fraudulent activities associated with the first account and at least one other account held by the account owner.

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First Claim