Applications of Data Analysis in Risk Control under the Background of Financial Science and Technology

Abstract

In the context of the rapid development of financial technology, the traditional risk control model is facing new challenges. The purpose of this paper is to explore how data analysis technology plays a key role in the field of financial risk control. The article first elaborated the financial risk control connotation and the credit risk, the market risk, the operation risk and so on main type. The specific application status of data analysis in the above three types of risk control is analyzed, and the core value of its transformation from passive response to active prevention is revealed. In view of the bottleneck in the current application, this paper puts forward the optimization path suggestions from three dimensions: improving the data governance system, strengthening technological innovation, and strengthening personnel training. Deep integration of data analysis technology is an inevitable choice for financial institutions to build an intelligent and forward-looking wind control system and enhance their core competitiveness.