AI-Driven Transformation of Risk Management in Securities Firms: A Case Study of CITIC Securities

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.