Application Research Of Big Data Technology In Bank Risk Management

In recent years,the rapid development of big data technology has had a profound impact on various industries.Especially under the background of "Internet+",more and more enterprises are seeking for a way out by means of operation transformation and scientific and technological innovation,and state-owned commercial Banks cannot avoid this.Faced with the powerful attack of Internet finance,the bonus era of commercial Banks officially ended.The first problem it faces is how to effectively improve the core competitiveness of risk management and successfully realize business transformation.Based on the characteristics of big data technology and the current application cases in domestic commercial Banks,this paper makes an in-depth analysis of the difficulties faced by the current risk management model of Banks,and how to build a complete risk management system based on the characteristics of intra-bank business by taking advantage of the existing resources and advantages of Banks.In this article,the author draw lessons from the past experience and typical cases,from the overall architecture,data reorganization,risk monitoring,external information,unstructured data analysis data analysis technology,the aspects of external data information and the combination of business data,the Banks themselves are discussed and the ground,to the Banks in the construction of large data risk control to provide some thinking.