Teach the in-demand course MMF1922H1F: Data Science at the University of Toronto. This sessional lecturer role involves an engaging curriculum on data science methods in finance and risk management. The University of Toronto is seeking a skilled Data Science lecturer for the Faculty of Arts & Science.

The course runs from September 10 to October 29, 2026, with classes held in-person on Thursdays. Ideal candidates will have an advanced degree in Mathematical Finance and proven teaching experience in large classes, focusing on both theoretical and applied data science techniques. Key Responsibilities:

- Prepare and deliver lectures for MMF1922H1F course
- Supervise and grade tests and examinations
- Hold scheduled office hours for student consultations
- Cover foundational probability and statistics
- Introduce machine learning concepts and big data tools Requirements:
- Advanced degree in Mathematical Finance
- Industry experience in data science and machine learning
- Prior university teaching experience
- Ability to manage large class sizes
- Proficient in finance-related data methodologies Bring expertise in data science and commitment to student success at the University of Toronto.

📌 Data Science Course Lecturer in Toronto
🏢 University of Toronto
📍 Toronto