
金融零售支付风险控制的现状、挑战与对策研究
Financial Retail Payment Risk Control: Current Status, Challenges, and Countermeasures
随着我国金融开放、普惠金融与金融科技的发展,金融零售支付产业正在由高速度增长向高质量增长转型升级,当前金融零售支付风险呈现出更加复杂严峻的态势。新型冠状病毒肺炎疫情的发生,使得人们的消费和支付习惯发生了很大变化,已经对金融零售支付风险控制研究提出了新的课题。本文分析了金融零售支付风险控制的新特点与不足,梳理了金融零售支付风险控制的现状,产业主体在合规履职、账户管理、交易监测、信用评估、数据安全、身份验证、技术风险等七方面的挑战。研究提出了关键在于建立完善与复杂严峻态势相匹配的全面风险管理体系与智能风控体系的观点,具体从数据共享、智能模型、系统架构、管理体制、人才培养五方面提出了对策建议。
The development of financial openness, inclusive finance, and financial technologies in China is transforming and upgrading its financial retail payment industry from high-speed to high-quality growth; consequently, the risks for financial retail payment currently present a more complex and severe situation. The COVID-19 epidemic has changed people’s consumption and payment habits and raised new topics on risk control of financial retail payment. This study explores the demand for risk control of financial retail payment in China by analyzing the new characteristics of financial retail payment and the deficiencies in the risk control. It then summarizes the current status of the risk control and the major challenges from seven aspects: compliance performance, account management, transaction monitoring, credit evaluation, data security, identity verification, and technical risks. We conclude that the establishment and improvement of a comprehensive risk management system and an intelligent risk control system that match the complex and severe situation is the key to financial retail payment risk control. Furthermore, we propose several countermeasures specifically from five aspects: data sharing, intelligent model, system design, management system, and talent training.
金融零售支付 / 支付风险 / 风险控制 / 金融犯罪 / 金融智能
financial retail payment / payment risks / risk control / financial crime / financial intelligence
[1] |
温信祥. 关于建设新时期现代化支付体系的思考——基于国 家治理体系和治理能力现代化视角 [J]. 学术前沿, 2019 (24): 66–71. Wen X X. On the establishment of a modern payment system in the new era—Based on modernizing China’s system of governance and governance capacity [J]. Frontiers, 2019 (24): 66–71.
|
[2] |
邵伏军, 时文朝. 中国银行卡产业发展报告 [M]. 上海: 上海文 化出版社, 2020. Shao F J, Shi W C. Report on the development of China’s bankcard industry [M]. Shanghai: Shanghai Culture Press, 2020.
|
[3] |
陈岳峰, 毛潇锋, 李裕宏, 等. AI安全——对抗样本技术综述与 应用 [J]. 信息系安全研究, 2019, 5(11): 1000–1007. Chen Y F, Mao X F, Li Y H, et al. AI security—Research and application on adversarial example [J]. Journal of Information Security Research, 2019, 5(11): 1000–1007.
|
[4] |
朱丽芳. 人工智能技术在应用中的安全风险与管控研究 [J]. 电 信工程技术与标准化, 2019, 32(12): 33–37. Zhu L F. Research on artificial intelligence security problems and control measures [J]. Telecom Engineering Technics and Standardization, 2019, 32(12): 33–37.
|
[5] |
赵斌, 柴洪峰. 打击银行卡犯罪精品案例集(2014—2016) [M]. 北京: 法律出版社, 2017. Zhao B, Chai H F. A collection of excellent cases against bank card crimes (2014—2016) [M]. Beijing: Law Press · China, 2017.
|
[6] |
陈新华, 蒋建文, 周华, 等. COVID-19疫情背景下的医院人工 智能快速布局和发展战略探讨 [J]. 中国工程科学, 2020, 22(2): 130–137. Chen X H, Jiang J W, Zhou H, et al. Rapid layout and development strategy of hospital artificial intelligence during the COVID-19 pandemic [J]. Strategic Study of CAE, 2020, 22(2): 130–137.
|
[7] |
赵世佳, 徐可, 薛晓卿, 等. 智能网联汽车信息安全管理的实施 对策 [J]. 中国工程科学, 2019, 21(3):108–113. Zhao S J, Xu K, Xue X Q, et al. Implementation countermeasures for information security management of intelligent connected vehicles [J]. Strategic Study of CAE, 2019, 21(3): 108–113.
|
[8] |
Zheng X L, Zhu M Y, Li Q B, et al. FinBrain: When finance meets AI 2.0 [J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(7): 914–924.
|
[9] |
Pan Y H. Heading toward Artificial Intelligence 2.0 [J]. Engineering, 2016, 2(4): 409–413.
|
[10] |
EMVCo. Payment tokenisation specification technical framework V2.1 [EB/OL]. (2019-06-14)[2020-08-20]. https://www.emvco. com/emv-technologies/payment-tokenisation/.
|
[11] |
董俊峰. 高效支付保障金融安全 [J]. 中国金融, 2019 (21): 40– 42. Dong J F. Efficient payment guarantees financial security [J]. China Finance, 2019 (21): 40–42.
|
[12] |
张艳. 夯实安全防护基础 构建攻防兼备安全体系 [J]. 中国金融 电脑, 2019 (8): 9–13. Zhang Y. Consolidate the foundation of safety protection and build a safety system with both offensive and defensive functions [J]. Financial Computer of China, 2019 (8): 10–13.
|
[13] |
郑岩. 科技如何支撑“数字化转型” [J]. 金融电子化, 2018 (4): 24–28. Zheng Y. How technology supports “digital transformation” [J]. E-Finance, 2018 (4): 24–28.
|
[14] |
徐劲, 乔辉. 关联关系图谱, 欺诈风险防范新工具 [J]. 金融电子 化, 2020 (6): 94–95. Xu J, Qiao H. Association graph, a new tool for fraud risk prevention [J]. E-Finance, 2020 (6): 94–95.
|
[15] |
张琳. 我国第三方支付的风险分析与防控控制研究 [J]. 智库时 代, 2020, 228(8): 38–40. Zhng L. Research on risk analysis and prevention of third party payment in China [J]. Think Tank Era, 2020, 228(8): 38–40.
|
[16] |
柴洪峰. 互联网时代的银行卡产业风险防控研究 [J]. 中国信用 卡, 2016 (6): 38–41. Chai H F. Research on bankcard industry risk prevention and control in the era of Internet [J]. China Credit Card, 2016 (6): 38–41.
|
[17] |
Zhou Y K, Chai H F. Research and practice on system engineering management of a mobile payment project [J]. Front of Engineering Management, 2017, 4(2): 127–137.
|
[18] |
杨善林, 周斌, 贾焰, 等. 网络舆情监测、分析与管理的现状与挑 战 [J]. 中国工程科学, 2016, 18(6):17–22. Yang S L, Zhou B, Jia Y, et al. On the monitoring, analysis, and management of network public opinion: Current status and challenges [J]. Strategic Study of CAE, 2016, 18(6): 17–22.
|
[19] |
李建华. 网络空间威胁情报感知、共享与分析技术综述 [J]. 网 络与信息安全学报, 2016, 2(2): 16–29. Li J H. Overview of the technologies of threat intelligence sensing, sharing and analysis in cyber space [J]. Chinese Journal of Network and Information Security, 2016, 2(2): 16–29.
|
[20] |
方滨兴, 杜阿宁, 张熙, 等. 国家网络空间安全国际战略研究 [J]. 中国工程科学, 2016, 18(6): 13–16. Fang B X, Du A N, Zhang X, et al. Research on the international strategy for national cyberspace security [J]. Strategic Study of CAE, 2016, 18(6): 13–16.
|
[21] |
陈红, 郭亮. 金融科技风险产生缘由、负面效应及其防范体系构 建 [J]. 改革, 2020, 313(3): 63–73. Chen H, Guo L. The causes, negative effects and the construction of prevention system of financial science and technology risks [J]. Reform, 2020, 313(3): 63–73.
|
[22] |
李建华. 人工智能与网络空间安全 [J]. 中国信息安全, 2019 (7): 32–34. Li J H. AI and cyberspace security [J]. China Infornation Security, 2019 (7): 32–34.
|
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|
〉 |