Research On Big Data Finance's Risk Control Mode

With the rise of the concepts of financial technology,big data,and the rigid demand of online finance and the group with no financial services,big data finance has gained more and more attention and application.Big data pushed finance into a strong data field and provided a lot of scenes for landing,but the effectiveness of big data finance's risk control in practical use is still insufficient.On the basis of stable operation,how to use big data for risk control to improve the core competitiveness of enterprises and expand market share has become the focus of attention in the industry.This article selected Aliloan and JD supply chain finance as the research object,and used typical case analysis and theory research to carry on the in-depth study to the theme.First,the concept of big data finance was defined.It includes two models:platform finance and supply chain finance.The typical enterprises are Aliloan and JD supply chain finance respectively.Secondly,the operation model and risk control model of Aliloan and JD supply chain finance were expounded respectively.On this basis,the comparison between Aliloan with JD supply chain finance and big data finance with traditional finance were made at the theoretical level,and the advantages and disadvantages of big data finance's risk control were analyzed.Finally,the future development path of big data finance was predicted in four aspects of data,technology,product and industry.The main conclusions:(1)In risk control,Aliloan mainly relies on "information flow " capital flow",focusing on the design of risk control process and the construction of models;JD supply chain finance relies on the aid of "information flow+ logistics",focusing on the design of products and the models of risk control of nodes;(2)Although the modeling rules between traditional finance and big data finance has no difference,but there are great differences in other aspects:data type,correlation relation and risk control node;(3)Big data finance's risk control has both advantages and challenges.The advantages are mainly embodied in the aspects of data dimension,big data risk control technology and timeliness;At the same time,it is also faced with many problems:insufficient data and lack of sharing;it is vulnerable to concealment and gang attack;the phenomenon of misuse of concepts at present;big data risk control values statistical correlation,which needs to be improved.The elaboration of this two typical enterprises' operation models and risk control models has direct guiding role for the practice of big data finance.At the same time,it also has some reference significance for the improvement of traditional finance's risk control.