Abstract:
Methods, means and apparatus for performing a payment risk assessment include training a predictive model with past unsecured credit application data with good and bad outcomes and inputting a new unsecured credit application into the predictive model to produce an assessment of the risk that the unsecured credit applicant will not pay. In addition, methods and means of providing a service to perform a payment risk assessment for credit applications are described including training a predictive model with past unsecured credit application data with good and bad outcomes, offering to perform a payment risk assessment for credit applications in return for a fee, receiving only unsecured credit applications and inputting a new unsecured credit application into the predictive model to produce an assessment of the risk that the unsecured credit applicant will not pay.
Abstract:
A system is disclosed for the automatic detection of fraudulent activity on a transaction network, for which each transaction over the network has an associated identifier. In one embodiment, the system includes voice comparison means for comparing a first sampled voice of a user of a first transaction with a subsequently sampled voice of a user of a subsequent transaction having an identical identifier to that of the first transaction. Control means in the form of a voice-based fraud detection engine is provided for determining, from said comparison, a profile of user usage that is representative of a total number of different users of the associated identifier. In a preferred embodiment, the system also includes voice sampling means for sampling a voice of the user of the first transaction to generate a first voice sample.
Abstract:
Methods and apparatus for selling a loss management system include bundling a high risk usage or high risk payment behaviour detection stage with a high risk application detection stage, wherein there is no additional charge than that for providing the high risk application detection stage. Also described are methods and apparatus for comparison of an incumbent loss management system without a high risk application detection stage against a new loss management system having a high risk application detection stage and a high risk usage or high risk payment behaviour detection stage, which include measuring for a decrease in the number of high risk users that actually gain access to products and services compared to those of the incumbent loss management system among other measures for providing comparisons.
Abstract:
Methods and systems for confirming the identity of a person include receiving identifying information of the person, receiving an electronic device identifier, checking a database for a recorded association between the identifying information and the electronic device identifier and indicating that the identity is or is not confirmed in the event that there is or is not an association between the identifying information and the electronic device identifier.
Abstract:
Methods and systems of reducing risk of a credit provider making a loss for providing a good or service to a user include providing a first stage for evaluating applications to identify those with a high risk of the credit provider not being fully paid, providing the good or service to a successful applicant and providing a second stage for evaluating the use of or payment for the good or service by the user to identify the risk of not being fully paid. A loss management system having at least two stages is also described. The stages include a high risk application detection stage and a high risk usage or high risk payment behaviour detection stage.
Abstract:
A method of providing a credit worthiness rating, and systems and computer programs configured to enable the method, are disclosed. An identifier of an electronic device is received, and information is associated with the identifier. A credit worthiness rating is then determined, the rating based on the information associated with the received identifier. The information may include one or more of information relating to payments made for services supplied to the telephone or the user or users of the telephone, information relating to the usage of the telephone, and/or information relating to transactions or payments made using the telephone.