Research On Credit Risk Management Of Consumer Loans Under The Credit Factory Model

According to the 2021 statistics released by the Ministry of Commerce,the contribution of final consumption expenditure to China’s economic growth has reached 65.4%,and consumption has become the first driving force of China’s economic growth again.Financial services that accompany consumption have also quietly "exploded".Financial institutions began to focus on consumer credit.In order to adapt to the small and high frequency characteristics of consumer loans,since 2008,various banks have started to implement the"credit factory" model to improve the efficiency and quality of financial services,and have initially realized the management intensification,operation standardization,and product modularization,but there are still great challenges in risk identification,data acquisition and other aspects.In recent years,with the continuous development of financial technology,banking institutions have developed from the "credit factory 1.0" model to the "credit factory 2.0" model in digital risk control.Through the application of big data,anti-fraud model and other financial technology tools,they have built an intelligent credit system to reduce manual operations,save operating costs and reduce operational risks.However,new models and new technologies will not make risks disappear.The rapid expansion of consumer finance will inevitably increase the risks faced by commercial banks.Credit risk is still the main risk faced by commercial banks.Under the new technology and new mode,how to effectively carry out the credit risk management of personal consumer loans and achieve the balance between efficiency and risk is particularly important.From the perspective of the credit factory model,this paper studies the credit risk management of consumer loans of YC Bank S Provincial Branch,analyzes the deficiencies in the credit business risk management under the existing model,and constructs the risk management evaluation index system through the AHP model and questionnaire survey,carries out quantitative analysis of customer risk and puts forward differentiated control measures to provide help for the credit risk management under the condition of manual participation.At the same time,this paper proposes to integrate the IPC technology,credit scoring card technology and big data risk control technology,absorb the advantages of each technology and complement each other,so as to better conduct quantitative analysis and decision-making for the management of consumer loan credit risk of S Provincial Branch.