Mastercard Incorporated
ANTI-MONEY LAUNDERING METHODS AND SYSTEMS FOR PREDICTING SUSPICIOUS TRANSACTIONS USING ARTIFICAL INTELLIGENCE

Abstract:

Embodiments provide anti-money laundering methods, and systems for detecting potential money laundering financial transactions using artificial intelligence. The method performed by a server system includes receiving data elements associated with financial activities of users who are associated with at least one issuer. The data elements include transaction data associated with users. The method includes identifying graph features based on data elements, and creating temporal knowledge graph based on the graph features. The temporal knowledge graph represents a computer-based graph representation of the users as nodes and relations among the nodes as edges. The method further includes encoding temporal knowledge graph into graph embedding vector using graph embedding model, predicting occurrence of money laundering financial transaction by applying unsupervised machine learning algorithm over graph embedding vector, and providing alert notification to at least one issuer associated with the money laundering financial transaction based on step of predicting.