Workflow
审批智能化
icon
Search documents
科技量化风险 精准“破题”中小微融资难局
Jing Ji Guan Cha Bao· 2025-06-26 04:35
Core Insights - The core focus is on enhancing financing efficiency and reducing barriers for small and micro enterprises, as emphasized by the United Nations' "Micro, Small and Medium Enterprises Day" [1] - The integration of technology and strategy in modern risk control is highlighted, with an emphasis on quantifying risks through big data and measurement techniques [1] Group 1: Financing Efficiency and Regulatory Measures - The regulatory bodies in China have set a goal for 2025 to improve the quality and efficiency of financial services for small and micro enterprises, aiming for "maintaining volume, improving quality, stabilizing prices, and optimizing structure" [1] - The measures include improving credit approval processes and risk management models through technological advancements, enhancing fraud detection capabilities, and increasing early warning identification [1] Group 2: Innovative Risk Control Models - The company has developed a data loan product that addresses the diverse financing needs of small and micro enterprises by integrating various data sources, including online business, judicial, and credit data [2] - The self-developed fusion model outperforms traditional statistical scoring models by accommodating more data dimensions and demonstrating over 20% higher accuracy compared to conventional models [2] Group 3: Information Acquisition and Risk Management - Traditional risk control methods rely heavily on offline manual information collection, which is inefficient and prone to inaccuracies [3] - The company has innovated its risk control model by utilizing multi-dimensional data for cross-validation, ensuring the accuracy and reliability of information [3] Group 4: Future Directions and Technological Integration - The company is exploring remote due diligence methods to enhance efficiency and reduce operational costs [4] - Plans are in place to leverage data and model capabilities throughout the entire credit process, with a focus on advancing intelligent approval systems [4]