告别流量依赖 握紧风控自主权中小银行与助贷机构合作逻辑生变

Core Viewpoint - The implementation of the "New Regulations on Internet Lending by Commercial Banks" since October 1 has led to significant adjustments in the internet lending business of commercial banks, with a shift from broad cooperation to stringent selection of partners [1][2][3]. Summary by Sections Adjustments in Lending Partnerships - Several regional banks, including Urumqi Bank, Longjiang Bank, and Guiyang Bank, have announced the suspension of new internet lending partnerships, indicating a trend towards reducing the number of cooperative institutions [1][2]. - Urumqi Bank has stopped its cooperative personal internet consumer loan business, affecting nine platform operators and eight credit enhancement service providers [1]. - Longjiang Bank has ceased its only partnership with Shenzhen Shoufu Bao Financial Technology Co., Ltd., while Guiyang Bank has not renewed its internet platform business partnerships [2]. Regulatory Impact and Compliance - The new regulations require banks to implement a list management system for platform operators and credit enhancement service providers, which has led to a tightening of partnerships [3][4]. - The recent regulatory environment has resulted in penalties for banks like Ping An Bank and SPDB for improper management of internet lending activities [4]. - The regulations emphasize that banks must not outsource core functions such as loan issuance and risk control, pushing them to enhance their internal capabilities [5]. Risk Management and Strategic Shifts - The new regulations are seen as a catalyst for banks, especially smaller ones, to improve their risk management and operational capabilities, moving from passive reliance on lending partners to active collaboration [5][6]. - Analysts suggest that smaller banks should focus on building their own customer acquisition and brand development capabilities while diversifying their partnerships to mitigate risks [5]. - The future of internet finance is expected to focus on scenario-based finance, small and micro finance, and enhanced data asset management, with AI playing a crucial role in improving risk control [6].