Big data risk control model construction method

Abstract

The invention discloses a big data risk control model construction method, which comprises data collection and data classification, and is characterized in that the lower layer of the data collectionis provided with data classification, and the lower layer of the data classification is connected with enterprise loan information collection and personal information collection; and the lower layersof the enterprise loan information collection and the personal information collection are connected with data modeling, data portraying and risk pricing. According to the big data risk control model construction method, the information of the user is collected in more detailed aspects, so that the risk is reduced, the user information can be collected more comprehensively, the possibility of riskevents is reduced, the information model is described more accurately, risk avoidance can be better achieved, and through accumulation of big data, the customer development and data acquisition are achieved, and risk control model operation is more accurate by integrating, supplementing, calling, judging and the like of data.

Description

technical field [0001] The invention relates to the technical field of big data risk control models, in particular to a method for building a big data risk control model. Background technique [0002] The risk control model is a powerful high-frequency trading and programmatic trading that requires faster trading channels and more efficient strategy models; on the other hand, fast trading leads to exponential growth in the risks faced by investment, so that the market and investors A more comprehensive strategy portfolio and a more precise risk control model are required for risk hedging. To reduce the various possibilities of risk events, or risk controllers to reduce the losses caused by risk events, there will always be some things that cannot be controlled, and risks always exist. As a manager, he will take various measures to reduce the possibility of risk events, or control possible losses within a certain range, so as to avoid unbearable losses when risk events occur...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a big data risk control model construction method to solve the general data risk control model construction method proposed in the above background technology, which cannot collect user information in a better and more detailed way, making the risk Improvement, it is not convenient to collect user information more comprehensively and reduce the possibility of risk events. When collecting information, the information model is not accurately described, and it is not convenient to better avoid risks. Through the accumulation of big data, Realize the complete collection of customer development and data, because the specific scene achieves different data parameters, and the data of parameter evaluation is meaningless because of the specific scene The problem of more accurate operation of the control model

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