Abstract: Systems and methods for assessing a credit exposure risk are provided. The methods include collecting credit facility data from at least one credit lender server device; determining, based on the credit facility data, at least one feature vector that is associated with at least one credit borrower device; applying at least one escalation rule to the feature vector; determining whether the at least one feature vector satisfies the applied escalation rule; and when the at least one feature vector is determined as not satisfying the applied escalation rule, performing an escalation action with respect to an entity associated with the credit borrower device.

Abstract: The invention relates to an engine that generates client profile-based sales decisions. An embodiment of the present invention is directed to providing new insights to strengthen opportunities to provide additional services to clients. The system is directed to developing client profile-based recommendations for trade ideas. For example, the innovative engine may recommend opportunities, such as new trade ideas, to a particular client based upon the client's transaction history, as well as other data and factors. The system may generate an account profile based upon client data and use this profile to score a potential new trade idea.

Abstract: Systems and methods for assessing a credit exposure risk are provided. The methods include collecting credit facility data from at least one credit lender server device; determining, based on the credit facility data, at least one feature vector that is associated with at least one credit borrower device; applying at least one escalation rule to the feature vector; determining whether the at least one feature vector satisfies the applied escalation rule; and when the at least one feature vector is determined as not satisfying the applied escalation rule, performing an escalation action with respect to an entity associated with the credit borrower device.