Dynamic Data Science Lecturer: Time-Series & ML (In-Person)

University of Toronto; Toronto; On-site; CAD 35,000 - 60,000; Full time

Job summary

University of Toronto in Toronto (St. George campus) seeks a Sessional Lecturer for MMF1941H1F: Dynamic Data Science. Course runs Sept 14–Nov 30, 2026, with in-person Monday evenings. Responsibilities include lecture delivery, assessment, and student advising.

The ideal candidate holds an advanced degree in Mathematical Finance, with experience in time-series, streaming data, and university teaching of similar courses. CUPE unit 3 framework applies.

Qualifications

• Advanced degree in Mathematical Finance required or equivalent.
• Industry experience in data science techniques, time series and streaming data preferred.
• Prior experience teaching this course or similar at university level strongly desired.
• Ability to handle large classes and deliver clear lectures.

Responsibilities

• Prepare and deliver lectures for Dynamic Data Science (MMF1941H1F).
• supervise and grade tests and examinations in accordance with university regulations.
• Provide scheduled office hours for academic counseling of students.

Skills

Time series analysis

Streaming data

Large class teaching

Course development

Education

Advanced degree in Mathematical Finance

Job description

University of Toronto in Toronto (St. George campus) seeks a Sessional Lecturer for MMF1941H1F: Dynamic Data Science. Course runs Sept 14–Nov 30, 2026, with in-person Monday evenings. Responsibilities include lecture delivery, assessment, and student advising.

The ideal candidate holds an advanced degree in Mathematical Finance, with experience in time-series, streaming data, and university teaching of similar courses. CUPE unit 3 framework applies.