Sessional Lecturer - MMF1941H1F: Dynamic Data Science (Section LEC 0101)
University of Toronto•Toronto, ON
•Onsite
About The Position
This course explores advanced data science techniques applied to dynamic, time-series, and streaming data, with a specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously evolving. The delivery method for this course is in-person. The sessional dates of appointment are from September 14 to November 30, 2026.
Requirements
- Advanced degree in Mathematical Finance
- Industry experience in data science techniques, time series and streaming data
- 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 predictive modeling, machine learning algorithms and statistical analysis
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
