Large Language Models in Financial Risk Management: Applications, Challenges, and Future Outlook
This article examines how large language models are transforming financial risk management by mapping various risk categories to LLM capabilities, showcasing practical use cases across market, credit, reputation, operational, and anti‑fraud domains, while also discussing technical challenges, data‑space concepts, and future prospects.