Research On Operational Risk Control Of Commercial Banks Based On The Perspective Of Knowledge Map

With the rapid development of global economy and society,the financial service business of modern Banks is expanding day by day,and financial innovation is exploding,which also brings daily operational risks to Banks.The rapid development of Internet finance and the increasingly updated means of science and technology bring greater potential risks to the occurrence of business risk cases of commercial Banks.The 19th national congress of the People's Republic of China clearly put forward the requirement of "no systemic financial risks",and China's banking regulators have comprehensively strengthened the risk supervision of Banks.Therefore,strengthening the risk management of banking business is not only the requirement of external supervision,but also the need of internal business development.This paper starts from the basic theory of operational risk of commercial Banks,and develops the definition,classification,concrete embodiment and corresponding characteristics of operational risk.This paper further discusses the identification,prevention and control of operational risks by commercial Banks,and studies the significance and methods of further studying operational risks of commercial Banks in China under the background of big data through knowledge mapping and other methods.This paper takes the operational risk management of China's commercial Banks as the research object,and constructs the idea of this paper by referring to and learning from domestic and foreign previous literature on the operational risk and big data of commercial Banks,aiming at the characteristics of commercial Banks under the background of big data and trying to propose innovative points.From the traditional meaning and the different characteristics of The Times under the background of big data,domestic and foreign commercial Banks in the operation of risk control methods in the similarities and differences point to start analysis,draw on each other strength to find a more effective way to solve the risk of China's commercial Banks under the background of big data operation problems.Finally,through data analysis and knowledge mapping,a model is built to quantitatively analyze the correlation coefficient of different factors on operational risk,and further discover the main factors affecting operational risk.Then draw the result,propose the countermeasure.The accuracy and deviation degree of the results obtained from the theoretical model are tested in combination with the actual work.The conclusions are summarized and put forward countermeasures and Suggestions for the operational risk management of China's commercial Banks.