Research on Risk Management in Internet Finance under the Big Data Background

Abstract

With the rapid development of Internet technology, Internet finance models have emerged rapidly, becoming an indispensable part of the modern financial system. The widespread application of big data technology provides a new perspective and tools for risk management in Internet finance. Internet finance models cover various aspects such as currency payment, currency issuance, currency raising, and investment and financial management. These models have changed the way financial services are provided, promoting the diversification and popularization of financial markets. However, with the continuous emergence of Internet financial products such as crowdfunding, P2P lending, and third-party payment services, their risks and challenges have gradually surfaced. On one hand, small and medium-sized enterprises face many difficulties in the financing process, such as information asymmetry and imperfect credit systems. On the other hand, financial institutions also face significant challenges in risk control and regulation. To address the difficulties in small and medium-sized enterprise financing, bank risk control, and sector regulation, financial institutions need to continuously increase their technological investment, promote the implementation of robotic process automation, accelerate the use of AI technology in financial business, and reduce the probability of financial business execution errors.