The role of Big Data in financial risk management

The article examines the role of big Data technologies in financial risk management in the context of the digital transformation of the economy. The paper examines the theoretical foundations of the use of Big Data in the financial sector, as well as the main directions of using big data in assessing credit, market and operational risks. Special attention is paid to the possibilities of improving forecasting accuracy, automating risk management processes and detecting fraudulent transactions based on modern data analysis methods. The advantages of using Big Data technologies are considered, including improving the efficiency of managerial decision-making and reducing the likelihood of financial losses, as well as the risks associated with ensuring information security, data quality and the use of artificial intelligence algorithms. Based on the analysis of the practical experience of Russian and foreign financial organizations, it is concluded that big data technologies have a significant potential to increase the stability of the financial sector and improve financial risk management systems.