BANKING SUPERVISION THROUGH SUPTECH

Victor Ababii
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Abstract

Victor Ababii E-mail: ababii.victor@gmail.com PhD student, Academy of Economic Studies of Moldova Head of Division, Reporting and Statistics Department, National Bank of Moldova Chișinău, Republic of Moldova https://orcid.org/0009-0008-9573-0204   Abstract: The banking system requires continuous development to enhance stability and integrity of the financial sector by implementing the latest technological tools. Maintaining a sustainable financial system, resilient to the shocks generated by the digital age and able to adapt and prevent emerging cyber risks remains a priority for supervisory institutions, in response to financial supervision and risk management framework through leveraging state-of-the-art technology for better governance and control. SupTech's primary objective is to promote inclusion in the financial sector by focusing on governance management and digital financing. It`s goal is to support the development of an inclusive financial system built on a robust digital infrastructure that enhances efficiency, transparency, and resilience. As technological innovations advance, financial services have to evolve, requiring financial institutions to adapt their surveillance technologies (SupTech) to safeguard citizen interests. Establishing both normative and technical SupTech frameworks helps supervisory authorities to eliminate gaps in internal processes, streamline workflows, fortify risk management, protect consumers, and maintain financial system stability amid ongoing market changes. Implementing a SupTech framework involves several stages: diagnosing the institution's current state, defining the purpose, vision, and objectives of SupTech, identifying key drivers and adaptive capabilities, evaluating necessary actions, and detailing steps for successful implementation. A thorough diagnosis of the supervisory institution involves IT solutions that facilitate continuous bank monitoring and offsite supervision. This diagnostic analysis includes: (1) Data products – identifying the position and trends to reach the level of AI-augment business intelligence tools; (2) Analytics – aiming to implement analytics tools perspectives; (3) Access controls - with the position on the agency - wide access; (4) Storage – oriented towards the use target of big data tools; (5) Validation and processing – aiming at the use of advanced data processing; (6) Collection – using the latest AI-based collection trends or alternative data sources.   Configuring the SupTech framework involves transforming vulnerabilities into opportunities. For example, automating data flows can address deficiencies in manual data handling, risk assessment, and report generation. Implementing a data warehouse can solve challenges related to data consolidation, multiple analysis tools, system integration complexity, and data correlation. SupTech aims to provide supervisory authorities with reliable, high-quality data, aligning with best practices in governance and data management. This ensures consistency in the supervisory process and resilience to technological advancements. Digitizing surveillance processes is crucial for operational efficiency, with advanced analytics and business intelligence solutions enhancing surveillance information and decision-making.   Keywords: SupTech, Fintech, Regtech, risks, data model.   JEL classification: G21
通过超级技术进行银行监管
Victor Ababii E-mail: ababii.victor@gmail.com 摩尔多瓦经济研究学院博士生 摩尔多瓦共和国基希讷乌摩尔多瓦国家银行报告与统计部处长 https://orcid.org/0009-0008-9573-0204 摘要:银行系统需要不断发展,通过采用最新的技术工具来提高金融部门的稳定性和完整性。保持一个可持续的金融体系,能够抵御数字时代产生的冲击,并能够适应和预防新出现的网络风险,这仍然是监管机构的首要任务,通过利用最先进的技术改善治理和控制,以应对金融监管和风险管理框架。SupTech 的主要目标是通过关注治理管理和数字融资,促进金融部门的包容性。它的目标是支持发展建立在强大数字基础设施基础上的包容性金融体系,以提高效率、透明度和复原力。随着技术创新的进步,金融服务也必须不断发展,这就要求金融机构调整其监控技术(SupTech),以保障公民利益。建立规范性和技术性 SupTech 框架有助于监管机构消除内部流程中的漏洞,简化工作流程,加强风险管理,保护消费者,并在市场不断变化的情况下维护金融系统的稳定。实施 SupTech 框架涉及几个阶段:诊断机构现状,定义 SupTech 的宗旨、愿景和目标,确定关键驱动因素和适应能力,评估必要行动,以及详细说明成功实施的步骤。对监管机构的全面诊断涉及有助于银行持续监控和非现场监管的 IT 解决方案。诊断分析包括(1)数据产品--确定达到人工智能增强型商业智能工具水平的定位和趋势;(2)分析--旨在实施分析工具的视角;(3)访问控制--在机构范围内访问的定位;(4)存储--面向大数据工具的使用目标;(5)验证和处理--旨在使用先进的数据处理;(6)收集--使用基于人工智能的最新收集趋势或替代数据源。 配置 SupTech 框架涉及将漏洞转化为机遇。例如,数据流自动化可以解决人工数据处理、风险评估和报告生成方面的不足。实施数据仓库可以解决与数据整合、多种分析工具、系统集成复杂性和数据相关性有关的挑战。SupTech 旨在为监管机构提供可靠、高质量的数据,并与治理和数据管理方面的最佳实践保持一致。这可确保监管流程的一致性和对技术进步的适应性。监控流程数字化对提高运营效率至关重要,先进的分析和商业智能解决方案可增强监控信息和决策能力。 关键词监管科技(SupTech)、金融科技(Fintech)、监管科技(Regtech)、风险、数据模型。 JEL 分类:G21
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