| Issue |
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
|
|
|---|---|---|
| Article Number | 02025 | |
| Number of page(s) | 7 | |
| Section | Finance, Risk & Global Markets | |
| DOI | https://doi.org/10.1051/shsconf/202522502025 | |
| Published online | 13 November 2025 | |
AI-Driven Transformation of Risk Management in Securities Firms: A Case Study of CITIC Securities
American University School of Finance, 3333 Wisconsin Ave NW, Washington, DC 20016, US
* Corresponding author: Jl6115a@american.edu
As financial markets grow increasingly complex and volatile, traditional risk management systems in securities firms face mounting challenges. This paper investigates how artificial intelligence (AI) is transforming risk control mechanisms, focusing on CITIC Securities, one of China’s largest investment banks, as a representative case study. By incorporating advanced AI technologies such as machine learning, natural language processing, and predictive analytics, CITIC has enhanced its ability to detect anomalies, assess credit and market risks, and issue real-time alerts. Compared to conventional methods, the firm’s AI-driven system offers faster response times, improved risk scoring accuracy, and increased operational efficiency. Nevertheless, the adoption of AI also introduces new issues.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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