Through extensive reading of the relevant literature, in order to discover the risks faced by the company, the reasons for the risks and the measures that need to be taken are studied, and python crawlers are used to obtain data on financial technology listed companies and data on different types of risk events, and then conduct data analysis and finance Research on the correlation between technology and corporate risk. Through the data set verification of the model, the accuracy rate of the model is 0.834. The result shows that the financial technology index and corporate risk present a U-shaped relationship. When the company has just entered the financial technology business module, it has improved corporate efficiency and reduced corporate risk. With the gradual deepening of the development of financial technology, when financial technology accounts for more and more enterprises, corporate risks become higher.