Financial Risk Management in the Context of Big Data

Abstract

With the increasing complexity of financial environments, traditional risk management methods face significant challenges in dealing with unstructured data and integrating fluctuating data. This paper studies financial risk management under big data through an analysis of Ping An Bank's case, focusing on the application aspects, advantages, and impacts of big data technologies. By leveraging big data for risk management, Ping An Bank has increased loan volume and improved customer satisfaction. This study demonstrates that big data is critical to financial risk management, enhancing precision, decision-making efficiency, and enabling real-time and intelligent risk control. It also provides guidance for risk management in related enterprises.