Multi-bank participated anti-money laundering discrimination method and related application equipment

Abstract

The invention provides a multi-bank participated anti-money laundering discrimination method and related application equipment, which can be applied to the financial field, and the method comprises the steps: inputting obtained money access operation information of a target customer into a central privacy calculation data model, and obtaining a money laundering risk probability factor of the target customer; the central privacy computing data model is obtained by fusing and optimizing models uploaded by various bank databases; the model uploaded by each bank database is obtained by training the corresponding central privacy computing data model by using own data; when it is judged that the money laundering risk probability factor exceeds a preset threshold value, it is judged that the target customer has a money laundering operation risk; that is, according to the method, barriers among multiple bank systems can be broken, the privacy computing technology is utilized, encryption parameters among banks are exchanged, joint computing modeling is carried out, and the problems that according to an existing related scheme, whether a customer has a risk behavior or not can be judged only through data of a single bank, and the judgment precision is low are solved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an anti-money laundering discrimination method involving multiple banks and related application equipment. Background technique [0002] Anti-money laundering is one of the important tasks of the bank's risk control system, and it is also an inherent obligation of financial institutions. With the development of big data and AI technology, some parties have widely used machine learning models to improve the risk control capabilities of the anti-money laundering system. [0003] However, the current anti-money laundering system can only use the data of a single bank to judge whether a customer has risky behavior, and the judgment accuracy is low. Contents of the invention [0004] In this regard, this application provides an anti-money laundering identification method involving multiple banks and related application equipment to solve the problem that existing related so...

AI Technical Summary

Problems solved by technology

[0004] In this regard, this application provides a multi-bank anti-money laundering identification method and related application equipment to solve the problem that the existing related solutions can only use the data of a single bank to determine whether a customer has risky behavior, and the identification accuracy is low.

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