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An established industry player is looking for an experienced educator to teach a cutting-edge course on Artificial Intelligence for Business and Finance. This role involves exploring the transformative impact of Generative AI and Large Language Models on finance, discussing their ethical implications, and enhancing financial inclusion. The ideal candidate will possess a strong background in Mathematics or Financial Economics and be passionate about teaching and research. Join a dynamic department that is at the forefront of integrating technology with finance education, and help shape the future of financial analysis and strategy.
The Department of Finance is seeking an individual with a solid background in Mathematics, Machine Learning, and Quantitative Finance to teach the “Artificial Intelligence for Business and Finance” class.
This course reviews recent developments in the transformative role of Artificial Intelligence (AI), with a specific focus on Generative AI and Large Language Models (LLMs) for business and finance applications, summarizes its practical applications, provides examples of the latest Generative AI tools, and demonstrates that Generative AI can revolutionize data analysis in industry and academia. It addresses how these cutting-edge technologies (Gen AI and LLM) reshape traditional financial topics, such as asset pricing, financial intermediation, investment strategies, and behavioral finance. It will also focus on understanding how Gen AI and LLM modeling brings forward ethical implications, benefits financial inclusion, and enhances regulatory and policy changes.
Doctorate - Mathematics or Financial Economics
PhD in Mathematics or Financial Economics and experience in research and teaching at the undergraduate and graduate levels. A strong understanding of Finance and Finance education is essential.
Experience with teaching Python is a plus.
Please apply with:
04/10/2025