Abstract: Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in transaction data such as payment card transaction data. For example, one embodiment includes a computerized method of detecting that comprises receiving data associated with a financial transaction and at least one transacting entity, wherein the data associated with the transacting entity comprises at least a portion of each of a plurality of historical transactions of the transacting entity, applying the data to at least one first model, generating a score based on the first model, and generating data indicative of fraud based at least partly on the score. Other embodiments include systems and methods of generating models for use in fraud detection systems.

Abstract: Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in transaction data such as payment card transaction data. For example, one embodiment includes a computerized method of detecting that comprises receiving data associated with a financial transaction and at least one transacting entity, wherein the data associated with the transacting entity comprises at least a portion of each of a plurality of historical transactions of the transacting entity, applying the data to at least one first model, generating a score based on the first model, and generating data indicative of fraud based at least partly on the score. Other embodiments include systems and methods of generating models for use in fraud detection systems.

Abstract: Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in mortgage applications. For example, one embodiment includes a computerized method of detecting fraud that includes receiving mortgage data associated with an applicant and at least one entity related to processing of the mortgage data, determining a first score for the mortgage data based at least partly on a first model that is based on data from a plurality of historical mortgage transactions associated with the entity, and generating data indicative of fraud based at least partly on the first score. Other embodiments include systems and method of generating models for use in fraud detection systems.

Abstract: Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in mortgage applications. For example, one embodiment includes a computerized method of detecting fraud that includes receiving mortgage data associated with an applicant and at least one entity related to processing of the mortgage data, determining a first score for the mortgage data based at least partly on a first model that is based on data from a plurality of historical mortgage transactions associated with the entity, and generating data indicative of fraud based at least partly on the first score. Other embodiments include systems and method of generating models for use in fraud detection systems.

Abstract: A method for detecting a risk of payment default comprises receiving mortgage data associated with a mortgage application, the mortgage application associated with an applicant, determining a first score for the mortgage data based at least partly on one or more models that are based on data from a plurality of historical mortgage transactions and based on historical credit information related to the applicant, and generating data indicative of a risk of payment default based at least partly on the first score.