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Research on Risk and Supervision of Financial Big Data Application Based on Decision Tree Algorithm

As an important field of China's social and economic development, big data plays an important role in channel expansion, service popularization, and precision marketing. The application of big data technology in the financial industry can effectively broaden the marketing channels of financial enterprises and improve their popular service levels. Big data technology is an important support for the healthy development of the financial industry. Used in precision marketing, credit rating, asset pricing, etc. Although it has promoted the informatization development of the financial industry, there are also certain risks. Risks and vulnerabilities such as data security, supervision, transmission rate, rules, etc. frequently appear, threatening the healthy development of the financial industry. On the basis of explaining the application of big data in the development of the financial industry, it analyzes the existing risks in depth, and proposes targeted regulatory measures based on the decision tree algorithm to promote the healthy and sustainable development of the financial industry.