Abstract: There is described a method of determining whether a fraud claim initiated by a client is legitimate. The method is performed by one or more processors. A fraud claim is received from the client. The fraud claim is in respect of a potentially fraudulent transaction associated with the client. Client data associated with the client is retrieved. The client data includes data relating to historical financial transactions associated with the client. Based on the data relating to the historical financial transactions associated with the client, and based on one or more parameters of the potentially fraudulent transaction, a fraud score associated with the fraud claim is determined. Based on the fraud score, a determination is made as to whether the fraud claim is legitimate.

Abstract: A computer system for, and method of, detecting fraudulent electronic transactions is provided. The system comprises at least one processor and a memory storing instructions which when executed by the processor configure the processor to perform the method. The method comprises accessing a trained model, receiving real-time transaction data, extracting graph-based and statistical features to enrich the real-time transaction data, and determining an account proximity score for the real-time transaction data.