This project belongs to the field of financial technology. The Basel Committee on Banking Supervision is a multinational institution composed of central banks in the world's major economies committed to improving the efficiency of global banking supervision. The Basel II Accord formulated by it systematically established for the first time a bank capital supervision system covering three major types of risks: credit risk, market risk and operational risk. Operational risk refers to the risk of loss caused by imperfect or problematic internal procedures, employees and information technology systems, as well as external events. Operational risks exist in various processes and business links of bank operations, which may induce other risks and lead to the occurrence of systemic risks. With the rapid development of financial technology, financial operation transformation and service innovation are emerging one after another, and the difficulty of supervising operational risks continues to increase. At present, my country's banking industry's operational risk supervision still faces three major challenges: First, different branches and branches of banks face different operational risks due to differences in their environment, business operations, target customers, and management styles. Traditional measurement models overestimate the bank's operational risk capital and limit the efficiency of capital utilization and business creativity of branches and branches. Banks urgently need high-precision operational risk measurement models to measure the risks and benefits in the process of their own business transformation and business innovation. Second, although operational risk incidents caused by system reasons such as power outages, network paralysis, and hardware damage do not occur frequently, the losses may amount to tens of millions. The occurrence of systemic causes is unexpected. Once a system failure emergency occurs, banks lack rapid early warning measures, which often causes huge losses. Banks urgently need new technologies to warn of the chain reaction after system failure occurs. Third, illegal activities in banking business processes are a breeding ground for operational risks. It is difficult for banks to locate loopholes in rules through illegal activities in the short term, and they cannot avoid the occurrence of operational risk events at the source of risk. Banks need new technology to find transmission paths between rule loopholes and illegal activities, and then repair rule loopholes. In response to the above-mentioned operational risk management problems that need to be solved urgently, the project has developed three technological innovations: First, it proposes an operational risk capital measurement technology based on non-parametric methods to measure the risks and benefits of banking business and provide important reference for banks 'operating decisions. Second, a banking system fault damage conduction early warning technology based on a dynamic model has been developed to predict the banking system fault damage conduction path, determine the most likely loss scenarios, and provide a new method to estimate the probability distribution of loss amounts at each node in the subsequent business process of system failure. Third, we have developed a technology to find operational risk sources (business rule vulnerabilities) based on dual correlation and Leacute;vy Copula model. A system correlation analysis and judgment tool based on the correlation of key risk indicators has been designed to quickly locate rule loopholes by monitoring the anomalies of key risk indicators, thereby repairing rule loopholes to prevent operational risk events. The research and application results of this project are at the leading level in China. 18 important papers have been published, including 9 SCI (EI) articles and 1 monograph. Six national and provincial and ministerial topics have been applied for around this project, and 2 national invention patents have been authorized., 1 utility model patent, 5 computer software copyrights have been registered. Relevant results have been unanimously recognized by domestic experts. The technical achievements of this project have been applied to Hebei Huijin Electromechanical Co., Ltd., Shanghai Mingyao Information Technology Co., Ltd., Abzide (Beijing) Technology Co., Ltd., Shenzhen Jincui Financial Services Co., Ltd., Shenzhen Yongdeyuan Financial Consulting Services Co., Ltd., Shanghai Jinggong Asset Management Co., Ltd. and dozens of branches and branches of Industrial and Commercial Bank of China, Agricultural Bank of China, Bank of China and other banks, which have added a total of 47.76 million yuan in direct economic benefits to the enterprise in the past three years. The indirect economic benefits were 22.72 million yuan.