Operational Risk Challenges and Coping Strategies for Internet Financial Information Intermediary Platforms Based on Big Data in the Context of Digital Finance
DOI: https://doi.org/10.62381/ACS.MEHA2024.04
Author(s)
Jiaqi Wang1,*, Yunfeng Zhang2, Xiaolong Jiang1, Ge You3, Chao Deng4, Yizhou He5
Affiliation(s)
1Faculty of Logistics, Guangdong Mechanical & Electrical Polytechnic, Guangzhou, Guangdong, China
2Continuing Education College, Guangzhou City Construction College, Guangdong, Guangzhou, China
3School of Literature and Media, Nanfang College Guangzhou, Guangzhou, Guangdong, China
4Guangdong Rural Credit Union, Guangzhou, Guangdong, China
5School of Management, Jinan University, Guangzhou, Guangdong, China
*Corresponding Author.
Abstract
The research delves into the operational impacts of the digital finance environment on Internet Financial Information Intermediary Platforms in the context of big data. It identifies the sources and characteristics of operational risks within these platforms and proposes tailored risk coping strategies accordingly. Facing challenges such as industry complexity, regulatory shifts, and internal management issues, these platforms encounter significant risks that threaten their stability and long-term growth. To address these risks, specific recommendations are offered, including the establishment of a compliant management system, optimization of fund management and risk control procedures, dynamic strategy adjustments, and the utilization of big data for risk assessment and prevention. These strategies aim to enhance risk prevention capabilities, mitigate economic losses, and strengthen investors' confidence and market competitiveness. By implementing these strategies, the platforms can better navigate the volatile financial environment and achieve sustainable development. This research offers valuable insights for risk management in Internet Financial Information Intermediary Platforms.
Keywords
Digital Finance; Internet Financial Information Intermediary Platforms (IFIIPs); Operational Risks; Big Data; Coping Strategies
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