Risk control method and system, computer equipment and computer readable storage medium

Abstract

The invention discloses a risk control method and a system, computer equipment and a computer readable storage medium. The risk control method comprises the following steps: inputting customer information into a trained customer portrait model to obtain a customer objective risk level; wherein the customer portrait model is a machine learning model based on a support vector machine; inputting therisk evaluation information of the customer into a trained customer portrait model to obtain a customer subjective risk level; and matching the customer objective risk level with the customer subjective risk level, and performing risk control according to a matching result. According to the method, based on the machine learning algorithm, the customer subjective risk level obtained based on risk evaluation is matched with the customer objective risk level, so that risk control is carried out according to the matching result, the accuracy of risk control can be improved, and the transaction security is further improved.

Description

technical field [0001] The invention relates to the technical field of financial risk monitoring, in particular to a risk control method and system, computer equipment, and a computer-readable storage medium. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] In financial activities, it is often necessary to carry out risk assessment on customers to determine the risk tolerance of customers, and then provide financial services within the scope of customer risk tolerance to carry out risk control and improve transaction security. [0004] However, in the process of risk assessment for customers, customers may be influenced by various aspects, such as the temptation of the rate of return, or the induction of other information. Under certain circumstances, they can bear risks that...

AI Technical Summary

Problems solved by technology

[0004] However, in the process of risk assessment for customers, customers may be influenced by various aspects, such as the temptation of the rate of return, or the induction of other information. Under certain circumstances, they can bear the risk that does not match their own ability, and then carry out financial activities or financial transactions that do not match their actual ability to bear, which leads to poor accuracy of risk control and poor transaction security

[0005] Therefore, the existing risk control has the problems of poor control accuracy and poor transaction security

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