Research on the Application of Big Data Technology in Enterprise Financial Risk Management

In the context of global economic integration and digital transformation, the financial industry is facing an increasingly complex and changeable risk environment. With its powerful data processing and analysis capabilities, big data technology provides a new solution for enterprise financial risk management. This paper provides an in-depth analysis of the application of big data technology in enterprise financial risk management. However, big data technology also faces many challenges, such as data security and privacy protection, data quality and reliability, technology and talent bottlenecks, and laws, regulations and supervision. To address these challenges, this paper puts forward corresponding coping strategies, including strengthening technical means and management measures to ensure data security and privacy, optimizing data processing process to improve data quality, increasing investment in technology research and development and talent training and introduction, and improving laws and regulations and innovating regulatory mode. This study holds important theoretical and practical guiding significance for enterprises to effectively use big data technology to improve the level of financial risk management, and provides a useful reference for the stable development of the financial industry.