Abstract: 【Purpose/significance】Because the financial innovation of various industries is affected by financing,the security of finan?
cial innovation is greatly reduced. Therefore,this paper studies the security and risk analysis of financial innovation based on big data
in the field of information science.【Method/process】From the perspective of information science,this paper analyzes the risks of finan? cial innovation by using big data technology,and finds that there are legal risks,capital security risks and information security risks in the process of financial innovation. In view of the current situation of financial innovation risk,this paper gives countermeasures and suggestions for the development of financial innovation based on big data in the field of Informatics by improving the legal system of In? ternet finance,strengthening the fund management of Internet finance and standardizing the threshold access standards. Taking the fi? nancial innovation risk of a bank as the research object,using the method of empirical analysis and referring to the logistic model,this paper evaluates the financial innovation risk.【Result/conclusion】The empirical analysis results show that by expanding the business scale of an enterprise,not only can the credit default rate of customers be reduced,but also the economic profitability and capital flow rate can be improved.【Innovation/limitation】Since the selected cases in this article are relatively single,the empirical results have certain limitations. In the future,multiple cases can be selected for comprehensive analysis to make the conclusions of the analysis more convincing.