Sessional Lecturer - MMF2035H: Large Language Models in Finance (LEC 0101)
About The Position
Recent advances in Large Language Models (LLMs) are fundamentally reshaping the financial industry by transforming how information is synthesized, interpreted, and deployed in decision-making processes. In an environment characterized by vast amounts of unstructured data—ranging from regulatory filings and earnings calls to macroeconomic reports and news—LLMs introduce a new paradigm for extracting insight, augmenting human judgment, and scaling analytical capabilities. This course examines the role of LLMs as a general-purpose technology within finance, with a focus on their application across investment research, asset management, risk analysis, and financial operations. Rather than treating LLMs as isolated tools, the course situates them within broader financial workflows and institutional contexts, emphasizing how they can enhance productivity, improve information asymmetry, and create differentiated sources of insight. Students will develop both a conceptual understanding of how LLMs function and a practical framework for designing and evaluating LLM-enabled systems. Through applied exercises and case-based discussions, the course explores how financial institutions are beginning to integrate LLMs into core processes, as well as the associated risks, limitations, and governance considerations.
Requirements
- Advanced degree in engineering and business
- Industry experience in innovation, artificial intelligence and equity trading
- Prior experience teaching this course (or a similar course) at the university level
- Ability and experience teaching large classes
Nice To Haves
- Work in the FinTech space
Responsibilities
- Preparation and delivery of lectures in this course
- Preparation, supervision and grading of tests and examinations in accordance with university regulations
- Providing scheduled office hours for academic counseling of students
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What This Job Offers
Career Level
Mid Level
