Risk management method and risk management system

Abstract

Embodiments of the invention provide a risk management method and a risk management system. The method comprises the following steps: building rick indicators according to the data elements in a predetermined risk analysis database, wherein the data elements are independent information elements, have no risk score and does not participate in risk score calculation; combining the multiple risk indicators according to the need of data analysis to get a risk management model; setting a risk management plan according to the risk management model and based on the data elements and the query conditions of the user demand; and using the risk management plan to perform risk management on a risk management object. Through the method and the system, risk analysis and management can be carried out on a risk management object based on multiple indicators, and the purpose of comprehensive and scientific risk management is achieved.

Description

technical field [0001] The present invention relates to the field of financial risk management, in particular to a risk management method and system. Background technique [0002] In the fields of taxation, banking, insurance, etc., when analysts conduct data analysis on risk management objects (for example, taxpayers in the taxation field, policyholders in the insurance field, bank loan objects, downstream distribution in the distribution field, retail enterprises, etc.) , It often happens that the back-end database cannot be operated, resulting in the back-end database storing a large amount of data but unable to display it well in the business system. [0003] However, the prior art does not provide a suitable solution to the problem that the existing information resources are not fully utilized due to the inability of analysts to perform background operations. Contents of the invention [0004] Embodiments of the present invention provide a risk management method and ...

AI Technical Summary

Problems solved by technology

[0002] In the fields of taxation, banking, insurance, etc., when analysts conduct data analysis on risk management objects (for example, taxpayers in the taxation field, policyholders in the insurance field, bank loan objects, downstream distribution in the distribution field, retail enterprises, etc.) , it often happens that the background database cannot be operated, resulting in the background database storing a large amount of data but unable to display it well in the business system

[0003] However, the existing technology does not provide a suitable solution for the problem that analysts do not perform background operations and the existing information resources are not fully utilized

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