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. The market share of deposits and loans has remained the first among the banking institutions in Xinjiang for seven consecutive years, and has played a major role in implementing the rural revitalization strategy and supporting small and micro enterprises.
At the same time,The unique banking characteristics of Xinjiang 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, and their loans are subject to the quality of agricultural products, market prices, natural disasters, etc. The impact is large, and it is necessary to effectively grasp the situation of its assets, planting costs and profits, in order to solve the problem of information asymmetry, and avoid excessive credit, imposter loans, and multi-prime loans. On the other hand, more than 60% of the service targets of some rural commercial banks are small and micro enterprises, and these enterprises 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 have also increased the complexity of risk warning and 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 operations, and repay Willingness to identify and control the credit risk before, during and after the loan has become an important issue in front of the Xinjiang Rural Credit Leadership Team.
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, and determined to strengthen the risk management initiative and forward-looking. Comprehensive economic development characteristics of Xinjiang region, Customer service, regional culture and other characteristics, IBM services helped Xinjiang Rural Credit to build a localized and differentiated early warning model, realized multi-dimensional risk identification and monitoring; designed and implemented a risk management data system for future introduction of industry and commerce, courts, External data such as banking supervision, credit reporting, taxes, private lending, and environmental protection 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:
Found the first risk data system of Xinjiang Rural Credit. Using continuous integration of internal and external data, on the basis of this, realize the digital and systematic management of risk information, and lay 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 people to achieve both efficiency and ability.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, we can obtain information about future business conditions, grasp the financial status of customers in a timely manner, and integrate information with 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.