Financial risk control system based on big data and artificial intelligence

Abstract

The invention discloses a financial risk control system based on big data and artificial intelligence, and belongs to the technical field of transaction business. The system comprises an obtaining unit which is used for obtaining transaction data generated by an external system according to different business flows; a distribution unit which is used for distributing the transaction data to a processing node with a corresponding rule set for matching processing according to the business flow where the transaction data belongs; a statistical unit which is used for obtaining a matching result that each processing node carries out the matching processing of the transaction data; and a generation unit which is used for generating new combined risk control rules according to the matching result,, wherein the generated new combined risk control rules are deployed at the processing nodes of different rule sets according to the business flows. The beneficial effects of the technical scheme arethat the method achieves the real-time improvement and updating of risk control rules, achieves the more complete risk control of the transaction process, and saves the manpower resources.

Description

technical field [0001] The invention relates to the technical field of transaction business, in particular to a financial risk control system based on big data and artificial intelligence. Background technique [0002] With the development of science and technology, more and more business transactions are beginning to be carried out in the direction of e-commerce. The number of electronic transactions conducted on e-commerce platforms or other online transaction channels is gradually increasing every day, resulting in a huge number of electronic transactions. transaction data. These huge amounts of transaction data require risk control of transaction data before entering the background interaction to prevent abnormal data or some malicious data from appearing. The traditional risk control method is to pre-set multiple risk control rules, and different risk control rules can be used to control different transaction risks. The transaction data acquired by the system needs to...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing risk control methods, the risk control rules are relatively fixed, so it is impossible to respond to new abnormal transaction data in a timely manner, and the update of the risk control rules is usually performed manually. There may be subjectivity and irrationality, and secondly, a lot of human resources will be wasted

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