The Role of Artificial Intelligence in Financial Risk Management in Fintech Companies

This study aims to examine the impact of the application of Artificial Intelligence (AI) in financial risk management in FinTech companies. With the increasing reliance on technology, AI has great potential in managing various types of risks, such as credit, market and liquidity risks. This study uses a quai-experimental approach by comparing two groups of companies, namely companies that use that do not use AI. The data collected included the level of non-performing (NPLs), market value fluctuations, and liquidity stability, which were analyzed using t-test and ANOVA to identify significant differences between the two groups. The results showed that companies that implemented AI experienced a significant decrease in bad debt rates, more manageable market values fluctuations, and improved liquidity stability. However, the main challenges faced in implementing AI include limited quality data technological comnpetency, and regulatory compliance. Overall, this study reveals that the application of AI can improve the effetiveness of financial risk management in FinTech firms, but requires investment in employee training, technological infrastructure development, and attentionto regulatory aspects to maximize the benefits.

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Publication Details

Journal
Journal of Economic Education and Entrepreneurship Studies
Published
2025-03-27
DOI
https://doi.org/10.62794/je3s.v6i1.7695
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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The Role of Artificial Intelligence in Financial Risk Management in Fintech Companies

Siska Yuli Anita, J. Chandra, Irsyad Kamal, Loso Judijanto et al.
1 links
Journal of Economic Education and Entrepreneurship Studies
FinTech, Crowdfunding, Digital Finance
article

The Role of Artificial Intelligence in Financial Risk Management in Fintech Companies

Siska Yuli Anita, J. Chandra, Irsyad Kamal, Loso Judijanto, Rizal Perlambang C NAWP
article en

Abstract

This study aims to examine the impact of the application of Artificial Intelligence (AI) in financial risk management in FinTech companies. With the increasing reliance on technology, AI has great potential in managing various types of risks, such as credit, market and liquidity risks. This study uses a quai-experimental approach by comparing two groups of companies, namely companies that use that do not use AI. The data collected included the level of non-performing (NPLs), market value fluctuations, and liquidity stability, which were analyzed using t-test and ANOVA to identify significant differences between the two groups. The results showed that companies that implemented AI experienced a significant decrease in bad debt rates, more manageable market values fluctuations, and improved liquidity stability. However, the main challenges faced in implementing AI include limited quality data technological comnpetency, and regulatory compliance. Overall, this study reveals that the application of AI can improve the effetiveness of financial risk management in FinTech firms, but requires investment in employee training, technological infrastructure development, and attentionto regulatory aspects to maximize the benefits.

Journal of Economic Education and Entrepreneurship StudiesVol. 6(1)
Universitas Jember (ID), Universitas Patria Artha (ID), Universitas Islam Negeri Raden Intan Lampung (ID), Politeknik Negeri Jember, Padjadjaran University (ID)
Openalex Percentile: Top 85%
FinTech, Crowdfunding, Digital Finance
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The Role of Artificial Intelligence in Financial Risk Management in Fintech Companies — Siska Yuli Anita, J. Chandra, et al. · Journal of Economic Education and Entrepreneurship Studies (2025) | TGRS Research Map | TGRS