Recently, the Xinjiang Uygur Autonomous Region Rural Credit Cooperative (hereinafter referred to as Xinjiang Rural Credit) announced that the comprehensive risk warning information management platform designed and built by IBM Services has completed the on-line trial operation. And the accuracy of identifying risk signals reached 99.8%. Through the development and application of this new enterprise-level early warning management platform, Xinjiang Rural Credit has established a comprehensive, intensive and forward-looking risk monitoring system to achieve risk management and internal and external regulatory compliance and internal risk control requirements. The integration of business processes and the ability to create digital, systematic, automated and intelligent modern financial services have laid a solid foundation.
As the largest local banking financial institution in Xinjiang, Xinjiang Rural Credit is composed of 83 rural commercial banks, rural credit cooperatives and agricultural cooperatives. Its deposit and loan market share has remained the No. 1 among banking financial institutions in Xinjiang for seven consecutive years, and has played a major role in implementing rural revitalization strategies, supporting small and micro enterprises and private enterprises.
At the same time, Xinjiang's unique banking characteristics and the organizational characteristics of the rural credit system have brought many challenges to the risk management of Xinjiang Rural Credit: on the one hand, more than 70% of the clients are farmers, Loans are affected by the quality of agricultural products, market prices, natural disasters, etc., and they need to effectively grasp the situation of their assets, planting costs and profits, in order to solve the problem of information asymmetry, avoid excessive credit, impost loans, and a multi-credit. On the other hand, more than 60% of the service targets of some rural commercial banks are small and micro enterprises, which generally have poor realism of business information and omission of financial data. In addition, the organization forms of 83 rural commercial banks, rural credit cooperatives and rural cooperative banks It increases the complexity of early warning and risk management.The risk control system needs to take into account the multiple needs of commonality and individuality.
How to fully integrate customer information under special conditions, strictly control customer access, effectively grasp customer credit status, assets and business conditions, and willingness to repay, Early identification and control of the credit risks that occurred before, during and after the loan became an important issue facing the leadership team of Xinjiang Rural Credit.
In 2018, Xinjiang Rural Credit and IBM Services reached a cooperation, and IBM Services designed and built a comprehensive risk early warning information management platform to build a comprehensive risk early warning and risk control system. , determined to strengthen the initiative and forward-looking risk management. Based on the characteristics of economic development, customer groups and regional culture in Xinjiang, IBM Services helped Xinjiang Rural Credit to build a localized and differentiated early warning model, realized multi-dimensional risk identification and monitoring, and designed and implemented a risk management data system. For the future introduction of external data such as industry and commerce, courts, banking supervision, credit reporting, taxes, private lending, environmental protection, etc., to provide a good data foundation for more refined and professional risk management.
Comprehensive risk warning information management platform based on the strategic policy of the comprehensive risk management of the Autonomous Region Association, the analysis and summary of 83 industry-wide risk information in the region The three-tier risk management system of the whole district-Dizhou-legal company was constructed to monitor and analyze the overall risk status of the whole district in real time from different perspectives, and to ensure the timeliness, accuracy and pertinence of risk response measures. The Autonomous Region Risk Prevention and Control provides information tools. With the help of the risk warning platform tool, the Autonomous Region Association can realize automatic, real-time and online monitoring, analysis and management of the risk status of the various organizations in the region, and greatly improve the effectiveness and timeliness of off-site risk monitoring, control and guidance. Further strengthen the efforts of the autonomous regional associations to serve the various agencies in the region.
Up to now, the platform has been put into trial operation. After the first batch of 7 rural commercial banks and rural credit cooperatives, the accuracy of the risk signal identified by the early warning model is reached. 99.8%. The risk early warning management and business development of Xinjiang Rural Credit has achieved substantial improvement from the inside out:
Establish the first risk data system of Xinjiang Rural Credit. With the continuous integration of internal and external data, digital and systematic management of risk information will be realized on this basis, laying a data foundation for subsequent automation and intelligent risk application;
Transition from passive manual warning to active systematic risk warning. The comprehensive risk warning information management platform helped Xinjiang Rural Credit to achieve a leap from artificial passive risk warning to system active early warning. In the past, it was necessary to wait until a loan was not available to find the risk. Now the platform can give risk warning before the loan is issued, and timely warning according to the post-loan tracking situation, so as to timely identify, control, and mitigate risks, reduce risk loss, and improve the quality of credit assets. ;
Enable business personnel to achieve both efficiency and capability improvement. Business people use their risk warning models and platforms designed by IBM Services to improve their financial analysis capabilities. By reviewing the flow of funds and analyzing the relationship between multiple financial statements,Get information about future business conditions, keep abreast of customers' financial status; integrate internal and external information to achieve information sharing, and effectively improve work efficiency and business management.
The Fifth National Financial Work Conference held in early 2019 highlighted the importance and urgency of preventing and defusing financial risks, and financial security and prevention and control of financial risks. In the first place. Xinjiang Rural Credit Co., Ltd. actively responded to the call of the central government, relied on the tenet of serving agriculture, rural areas and farmers, and the positioning of local banking financial institutions. With the cooperation with IBM, the leading international service organization, it built a comprehensive risk early warning information management platform, which not only strengthened the identification and control risks. The ability to protect the sustainable and healthy development of the rural credit itself, and also made due contributions to the prevention and resolution of systemic financial risks with practical actions and resource inputs.