Multi-channel data driven, real-time anti-money laundering system for electronic payment cards

An executable software product stored on a non-transitory computer-readable medium containing program instructions for detecting electronic payment card money laundering, the program instructions for:

• receiving, by the program instructions executing on at least one processor, real-time payment card transaction data from ingress channels and egress channels of at least one payment card system through a first application programming interface (API);
• generating at least two types of transactional profiles for each of at least:
• payment cards, the ingress channel, the egress channels, and funding sources of the payment cards,
• wherein a first type of transactional profile comprises a network graph of links between the ingress channels, the egress channels, the payment cards, any users of the payment cards, and geo-location identities associated with the payment cards;
• and
• wherein a second type of transactional profile comprises a series of transactional usage patterns at different time intervals of each of the payment cards, the ingress channels, the egress channels, and the funding sources;
• in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compare the transaction data to the transactional profiles to calculate a probabilistic money laundering score for the current transaction;
• evaluating the probabilistic money laundering score and the current transaction data based on a set of rules to generate a suspicious activity report that recommends whether to approve or report the current transaction;
• and
• transmitting the suspicious activity report back to the payment card system and transmitting the suspicious activity report to an identified regulatory body.

A system, comprising:

• a memory;
• at least one processor coupled to the memory;
• a first application programming interface (API) executed by the processor that is configured to receive real-time payment card transaction data from ingress channels and egress channels of at least one payment card system;
• an anti-money laundering monitoring component executed by the processor that is configured to generate transactional profiles for each of at least—payment cards, the ingress channel, the egress channels, and funding sources of the payment cards,
• wherein a first type of transactional profile include a first profile comprises a network graph of links between the ingress channels, the egress channels, the payment cards, any users of the payment cards, and geo-location identities associated with the payment cards;
• and
• wherein a second type of transactional profile comprises a series of transactional usage patterns at different time intervals of each of the payment cards, the ingress channels, the egress channels, and the funding sources;
• an anti-money laundering rules component executed by the processor that is configured to receive transaction data for a current payment card transaction, and evaluate the transaction data using a predictive algorithm that compare the transaction data to the transactional profiles to calculate a probabilistic money laundering score for the current transaction;
• an anti-money laundering SAR generation component executed by the processor that is configured to evaluate the probabilistic money laundering score and current transaction data based on a set of rules to generate a suspicious activity report that recommends whether to approve or report the current transaction;
• and
• a second API executed by the processor that is configured to transmit the recommendation back to the payment card system.