Program Overview
Singapore has emerged as a leading fintech hub in Asia, combining strong regulatory frameworks with innovative technology adoption. This module explores the intersection of Asian finance and generative AI, examining how large language models and AI agents are transforming financial services.
Students will engage with fintech startups, regulatory bodies, and research institutions to understand both the technical capabilities and regulatory considerations shaping the future of finance in Asia.
Key Learning Outcomes
- Understand how LLM agents are applied in financial services
- Analyze regulatory frameworks for AI in finance (MAS guidelines)
- Evaluate DeFi protocols and their intersection with traditional finance
- Explore natural language processing applications in financial technology
- Develop frameworks for assessing fintech innovation and risk
Industry Partners
- Monetary Authority of Singapore (MAS): Regulatory sandbox sessions
- Fintech Startups: MAS sandbox participants and established companies
- NTU AI Labs: Research presentations on financial AI applications
- Financial Institutions: Enterprise AI implementation case studies
Daily Itinerary Sample
Day 1-2: Foundation
- Introduction to fintech and AI in finance
- LLM agents workshop and applications
- Regulatory framework overview (MAS)
Day 3-4: Industry Immersion
- Fintech startup visits
- MAS sandbox demonstrations
- NTU AI lab presentations
Day 5-6: Analysis & Synthesis
- DeFi protocol analysis
- Student project development
- Final presentations
Assessment
Students complete a case study analyzing a fintech company’s use of AI, evaluating technical implementation, regulatory compliance, and market impact.
Prerequisites
Background in finance, computer science, or business preferred. Interest in financial technology and AI applications required.
