Research On The Application Of Off-site Audit Of Y-bank Wealth Management Business In The Context Of Big Data

Under the background of interest rate marketization,competition in the financial industry has become increasingly fierce,and banks are facing business transformation from traditional deposit and loan business to intermediate business,with personal wealth management and agency fund insurance gradually becoming the focus of commercial banks’ development as intermediate business.In recent years,with the growth of residents’ income,the market of wealth management products has achieved vigorous development,and the regulation of the wealth management market has also been strengthened.28 September 2018,after the introduction of the "new regulations on asset management",banks are required to adopt net value management for their wealth management products,and the original "capital preservation The risk of wealth management business has been escalated as"capital-protected" wealth management is withdrawn from the market.Neither capital preservation,nor interest protection,wealth management business risk brought about by customer complaints also gradually increased.Therefore,for commercial banks,the rapid development of wealth management business still needs to pay attention to potential risk hazards.In order to ensure the healthy development of wealth management business,it is necessary for commercial banks to strengthen internal audit of wealth management business and effectively prevent and solve the financial risks faced by wealth management business.The rapid changes in big data technology are also rapidly changing the ecological environment and competitive landscape of the financial industry,and commercial banks are undergoing dramatic changes in their operational models and risk management.The development of big data and artificial intelligence technology has enabled internal audit work to have richer information,more advanced technology,and a more complete information platform,which not only broadens the audit horizon,but also enhances the ability to perform its duties.Therefore,major banks have seized the development opportunity to apply big data technology in business auditing to improve the quality and efficiency of internal auditing.This article discusses the feasibility and effectiveness of using big data technology to assist the off-site audit of financial management business in the context of current big data,based on domestic and international research results and the implementation of the current audit of financial management business of Bank Y.The article uses the case study method to analyze the theoretical foundations of fiduciary economic responsibility theory,comprehensive risk management theory and internal control theory,and discusses the feasibility and effectiveness of using big data technology to assist the off-site audit of financial management business in the context of current big data.The article takes the financial business audit of Bank Y as an example,starts from the development history,audit organization structure and financial business development of Bank Y.It specifically analyzes the motivation and objectives of financial business audit,and introduces a series of current big data technologies,such as RPA robotic process automation and analysis and early warning model,in the specific application and effectiveness of financial business audit,etc.Finally,a questionnaire survey is used to Finally,an objective analysis of the effectiveness of the current application of big data technology is conducted using a questionnaire.Through the case study of Bank Y,the article finds that the current application of big data technology in the financial audit of Bank Y has problems such as low data quality,less application scenarios,and not enough timely early warning analysis,and there is still room for improvement.According to the existing problems,the article analyzes and studies the reasons in depth,the main reasons are: imperfect construction of data platform,lack of external data and imperfect risk early warning model.In view of the current situation of Y Bank’s financial business audit,combined with the analysis of the reasons for the problems of Y Bank’s financial business audit,this thesis proposes suggestions and countermeasures to improve the application scenarios of big data technology in Y Bank’s financial business audit,including strengthening system construction,training professional talents,and establishing a risk warning system,so as to promote the quality and efficiency of Y Bank’s financial business audit and protect the healthy development of financial business.Through the analysis of the audit case of financial management business of Bank Y,this thesis attempts to explore the current big data background,the comprehensive use of big data technology to provide new thinking and evidence to improve the quality and efficiency of audit business,enrich the theory of internal audit and bank risk management,and provide theoretical support for further research by the majority of scholars.