Bank of Montreal
SYSTEMS AND METHODS FOR PREDICTING OPERATIONAL EVENTS

Abstract:

A system and method for predicting operational loss events in transactions using artificial intelligence modeling. The system and method include receiving, by one or more processors, a request for a risk score associated with an organization; applying, by the one or more processors, a scoring dataset to a risk predictive model that is trained with a training dataset causing the risk predictive model to generate one or more risk scores based on the scoring data, the one or more risk scores indicative of a probability for an operational loss event to occur responsive to a transaction by the organization; and sending, by the one or more processors, a message that includes the one or more risk scores to a client device.