Patent ID: 8296205

Claim:
A method for developing financial risk decisions for a customer associated with a plurality of financial accounts, the method being executed by a computer system having one or more processors, the method comprising: generating, by the one or more processors, a hierarchy of relationships among the plurality of financial accounts; summarizing, by the one or more processors, transactional behaviors of the customer related to each of the plurality of financial accounts using an analytical approach executed on the hierarchy of relationships to generate a customer level transactional behavior summary; receiving aggregated information on recent financial transactions associated with each of the plurality of financial accounts; generating, by the one or more processors, a customer profile associated with the customer, the customer profile including the transactional behavior summary and the aggregated information; wherein: the analytical approach includes a self-learning outlier analytics customer approach, the self-learning outlier analytics customer approach is based on a fixed set of at least one of (i) risk attributes and (ii) fraud attributes scaled based on customer groupings, each customer grouping corresponds to customers that have values associated with the at least one of risk attributes and fraud attributes within a corresponding predetermined range, and the self-learning outlier analytics customer approach is configured to determine outliers within at least one customer grouping of the customer groupings.