Internet financial risk control model based on machine learning algorithm

The Internet finance industry has risen rapidly with the development of IT technology. Among the unicorn enterprises with a valuation of more than US $1billion in 2017, the Internet finance industry ranked second, and ranked first in all industries with a total valuation of more than 700 billion yuan. The entire Internet finance industry is hot. In less than a year, there was a collective “storm” of Internet financial enterprises in 2018. In just one month in July, more than 130 Internet financial enterprises closed down one after another. Under the continuous “Thunderstorm” situation, the development of the Internet finance industry is difficult, and it also makes people's understanding of Internet Finance return to rationality. The research on Internet financial risk control model based on machine learning algorithm is a research work focusing on the problem. The main purpose an intelligent system that can identify risky transactions in real time and prevent them from happening. The proposed system will be able to immediately detect suspicious transactions and take appropriate actions, such as freezing, blocking or reporting them to regulators for further investigation. The project has been successfully completed, which is of great benefit to all interested parties.