Sessional Lecturer - MMF1922H1F: Data Science (Section LEC 0101)
University of Toronto•Toronto, ON
•Onsite
About The Position
This 8-week course provides an introductory overview of data science methods in finance, investments, and risk management. The course covers a review of foundational probability and statistics, a brief introduction to machine learning (supervised learning, unsupervised learning), and big data tools. The estimated course enrollment is 30 students. The class schedule is Thursday from 6:00 PM to 9:00 PM, and the delivery method is in-person. The sessional dates of appointment are from September 10 to October 29, 2026.
Requirements
- Advanced degree in Mathematical Finance
- Industry experience in data science and machine learning methods in finance
- Prior experience teaching this course (or a similar course) at the university level
- Ability and experience teaching large classes
Nice To Haves
- Industry experience in big data and machine learning in finance
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
Job Type
Part-time
Career Level
Mid Level
