Banks, Financial Platforms and Big Data: Development Trends and Regulation Directions

IF 3.4 3区 经济学 Q1 BUSINESS, FINANCE Financial Analysts Journal Pub Date : 2022-10-01 DOI:10.31107/2075-1990-2022-5-105-119
S. Vasiliev, I. A. Nikonova, O. Miroshnichenko
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Abstract

The introduction of Big Data technology into banking activities is aimed at improving the efficiency of banks, improving business processes, however, it creates new risk factors and determines the need to transform regulatory approaches. The purpose of the article is to develop recommendations on the use of Big Data technology in banking, including the bank transactions using a financial platform, taking into account the need to ensure the stability of the banking sector at the macro and micro levels, and the development of the financial market. It has been established that Big Data technology is used in the management of banking risks, in the development of relationships with customers, the development of personalized products; in cost reduction. The use of Big Data defines new requirements for staff competencies. As a result of the analysis, the need for cooperation between banks, operators of financial platforms with specialized providers of cloud services, software, as well as fintech companies is substantiated. It was revealed that the implementation of Big Data technology increases the importance of model, reputational risks, third-party risks, unethical behavior, and cybersecurity. When using Big Data technology, banks are recommended to separate the data management function; the regulator — to expand the regulatory principles and approaches to the use of data in the construction, validation, adjustment of banking models based on Big Data technology, to the exchange of data and their protection, to the use by banks, operators of financial platforms of Open data, to the certification of specialized suppliers, interacting with banks; the legislator is recommended to develop a legal framework that regulates the formation and use of open data by economic agents.
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银行、金融平台与大数据:发展趋势与监管方向
将大数据技术引入银行活动旨在提高银行效率,改善业务流程,然而,它产生了新的风险因素,并决定了转变监管方式的必要性。本文的目的是考虑到在宏观和微观层面确保银行业稳定以及金融市场发展的需要,就大数据技术在银行业(包括使用金融平台的银行交易)中的应用提出建议。大数据技术在银行风险管理、客户关系发展、个性化产品开发等方面的应用已经确立;降低成本。大数据的使用对员工能力提出了新的要求。分析结果表明,银行、金融平台运营商与专业云服务提供商、软件提供商以及金融科技公司之间的合作需求得到了证实。据透露,大数据技术的实施增加了模型、声誉风险、第三方风险、不道德行为和网络安全的重要性。银行在使用大数据技术时,建议将数据管理功能分开;监管部门——拓展基于大数据技术的银行模式构建、验证、调整中数据使用的监管原则和方法,扩展到数据交换及其保护,扩展到银行、金融平台运营商使用开放数据,扩展到专业供应商认证,扩展到与银行互动;建议立法者制定一个法律框架,规范经济主体对开放数据的形成和使用。
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来源期刊
Financial Analysts Journal
Financial Analysts Journal BUSINESS, FINANCE-
CiteScore
5.40
自引率
7.10%
发文量
31
期刊介绍: The Financial Analysts Journal aims to be the leading practitioner journal in the investment management community by advancing the knowledge and understanding of the practice of investment management through the publication of rigorous, peer-reviewed, practitioner-relevant research from leading academics and practitioners.
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