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Financial Risk Control System Based on Big Data and Artificial Intelligence

Yilin Jin

Abstract


With the financial market expanding rapidly and becoming more complicated, the old way of controlling risks is not enough for today's money management. Big data plus AI gives us some good chances to make better risk predicting, watching over, and making decisions.
This paper is about a kind of financial risk control system created by using big data and AI. It talks about how it's built, the main technological
parts involved, and how well it helps make risk control work better. In conclusion, we believe that the combination of big data analysis and artificial intelligence algorithm could greatly improve financial risks management system; however, there are still problems existing such as data
quality problem, algorithm's transparency problem and regulations problem.

Keywords


Finaiancel risk conterol; Datta; AI machiene leraning ris krman

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References


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[2] Rao, V. S. (2025). The role of AI and big data in financial forecasting. ACR Journal.

[3] Financial Stability Board(2024). AI and the stability of the financial world

[4] Xin, W. (2025). The impact of AI on corporate financial risk. ScienceDirect.

[5] OneTruett survey (2025) The AI Risk Management in companies.

[6] The Conference Board: AI RISK IN DISCLOSURE CORP.

[7] Yang, H. et al. (2024). Financial risk prediction using deep learning. arXiv.

[8] Wang, L. et al. (2024). Big data-based financial risk monitoring systems. arXiv.

[9] Deloitte( 2025): AI to do financial crime risk management:

[10] Uberti-Bona Marin, L. et al. (2025). AI risk disclosure analysis in financial reports.




DOI: http://dx.doi.org/10.70711/frim.v4i6.9687

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