A Study On The Risk Management Of E-commerce Supply Chain Finance Based On Big Data

The difficulty and high cost of financing for small and medium-sized enterprises(SMEs)is a universal problem that has long existed in the world.Since the beginning of the new century,with the development of financial innovation services,supply chain finance,as a new financing method,can provide financing for small and medium-sized enterprises based on transaction process by integrating business flow,logistics,information flow and capital flow into one,and has made a great contribution to solving the financing constraint problem of SMEs.E-commerce supply chain finance is a self-operated supply chain finance business model of e-commerce platforms.In recent years,it has developed rapidly in China,which effectively resolves the financing problems of SMEs on the chain.However,due to the diversity of participants and the complexity of the chain,the risks brought to e-commerce platforms are also paid attention to.In order to ensure the sustainable development of e-commerce supply chain finance business,it is necessary to deal with the risk of supply chain finance in a timely manner.With the continuous development of big data and cloud computing technology,the establishment of big data risk control system can improve the efficiency of risk control and reduce the cost of risk control.By analyzing the case of JingDong(JD)Finance using big data to manage the financial risks of e-commerce supply chain,this paper summarizes its experience and shortcomings,and provides solutions for other e-commerce platforms or financial institutions when they encounter such problems.The case introduction part of this paper introduces three supply chain financial products of JD Finance,namely “Jing Bao Bei”,“Jing Xiao Dai” and “Yun Cang Jing Rong”.This part expounds the risks in the different stages of financing and the characteristics of e-commerce supply chain financial risks,and concretely shows the big data risk control system and risk management scheme architecture of JD e-commerce supply chain finance.The case analysis part explains the application of JD Finance's big data risk control system in credit risk,market risk and operational risk management,and summarizes its experience in big data risk management,including the extensive big data sources,scientific risk control models,advanced risk warning mechanism and perfect big data risk control scheme architecture etc.Also,some problems of JD e-commerce supply chain finance in the process of using big data to manage financial risks are put forward,such as information errors or irregularities in the data acquisition stage,lack of stop loss mechanism in the risk control system of big data,possible violation of users' privacy data in data mining and the immaturity of big data technology.Finally,this paper proposes the experience promotion and improvement measures of the risk control based on the case of JD Finance.When collecting data,e-commerce platforms or other financial institutions should pay attention to the multi-party acquisition of user data and enhance the accuracy of big data collection.In data analysis,they should establish a reasonable big data processing system and pay attention to the protection of users' privacy data.In risk management,a professional big data risk management department should be set up,and a risk stop loss mechanism should be established.At the same time,it is necessary to improve the quality of big data technology and professionals,and attach importance to the combination and application of block chain technology.