Implications of Big Data Technologies for the Resilience of Financial Institutions
DOI:
https://doi.org/10.58423/2786-6742/2026-12-29-44Keywords:
FinTech, Big Data, RegTech, AI, BigTech, financial institutions, financial securityAbstract
The research examines the impact of Big Data-based FinTech and AI technologies on the development of the financial sphere and financial stability. The subject of the research is the transformation of key areas of financial activity under the influence of large-scale data analytics, including banking, risk management, insurance, stock markets, accounting, auditing and taxation. The purpose of the study is to identify main benefits, risks and structural consequences of Big Data implementation in financial institutions, and to assess regulatory, ethical, security and human resource challenges arising from this process.
The research is based on a qualitative analysis of recent academic literature, comparative analysis of sector-specific applications of Big Data technologies, and synthesis of empirical findings from international studies. The methodological approach combines systemic and structural analysis, allowing the interconnections between technological innovation, financial stability, institutional adaptation to be identified.
The results demonstrate that Big Data and AI technologies significantly improve efficiency, risk assessment accuracy, fraud detection and financial inclusion. At the same time, their unbalanced or poorly governed adoption contributes to increased systemic risk, cybersecurity vulnerability, regulatory fragmentation and third-party dependence on BigTech platforms. It is also established that the effectiveness of Big Data solutions varies across financial sphere and depends critically on data quality, regulatory alignment and organisational readiness. Significant changes in human resource needs and requirements are identified, with growing demand for analysts and specialists combining financial and technological competencies.
The results of the study may be applied in the development of financial institution strategies, regulatory frameworks, risk management systems and professional training programmes. It is concluded that Big Data-based FinTech can contribute to financial stability only when its implementation is strategically justified, ethically grounded and supported by effective regulation, robust data governance and investment in human capital.
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