大数据风险分析模型

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80万电信诈骗惊险拦截!广发银行东莞分行警银联动守护群众“钱袋子”
2 1 Shi Ji Jing Ji Bao Dao· 2025-06-16 05:12
Group 1 - The core viewpoint of the articles highlights the effective response of Guangfa Bank Dongguan Branch in combating telecom fraud through a collaborative mechanism with law enforcement, successfully intercepting 800,000 yuan in fraudulent funds [1][2] - Guangfa Bank Dongguan Branch utilized a self-developed big data risk analysis model to monitor abnormal transaction behaviors in real-time, providing precise risk warnings to staff [1] - The bank has established a comprehensive work mechanism that includes prevention, interception, and loss recovery to ensure rapid response and efficient handling of fraud cases, positioning itself as a "gatekeeper" in anti-fraud actions [1] Group 2 - Guangfa Bank Dongguan Branch emphasizes anti-telecom fraud as a key initiative in serving the community, implementing a multi-dimensional publicity matrix that combines online and offline efforts [2] - The bank conducts regular anti-fraud knowledge dissemination activities, particularly targeting vulnerable groups, and integrates fraud prevention education into community services and school curricula [2] - Future plans include deepening technological empowerment, strengthening police-bank collaboration, and improving risk warning systems to enhance the protection of public financial security and social stability [2]