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Sessional Lecturer - MMF1922H1F: Data Science (Section LEC 0101

Job in Toronto, Ontario, C6A, Canada
Listing for: University of Toronto
Seasonal/Temporary position
Listed on 2026-08-05
Job specializations:
  • Education / Teaching
    College Lecturer, University Professor
Salary/Wage Range or Industry Benchmark: 6000 CAD Yearly CAD 6000.00 YEAR
Job Description & How to Apply Below
Position: Sessional Lecturer - MMF1922H1F: Data Science (Section LEC 0101)

Date Posted: 07/21/2026

Req

Existing Vacancy:
Yes

Faculty/Division:
Faculty of Arts & Science Department:
Dept of Economics

Campus:
St. George (Downtown Toronto)

Course Number and Title

MMF
1922H1F:
Data Science (Section LEC 0101)

Course Description

Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines. The reason for the emergence is due to theoretical advances in machine learning, availability of big data, and surges in computational capabilities. 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, brief introduction to machine learning (supervised learning, unsupervised learning) and big data tools.

Estimated course enrolment: 30

Estimated TA support: n/a

Class Schedule

Class

Schedule:

Thursday 6:00-9:00 pm

Delivery method:
In-person

Sessional dates of appointment

September 10 - October 29, 2026

Salary (per section)
  • $4,998.74 Sessional Lecturer I
  • $5,349.61 Sessional Lecturer I
    - Long Term
  • $5,349.61 Sessional Lecturer II
  • $5,476.98 Sessional Lecturer II
    - Long Term
  • $5,476.98 Sessional Lecturer III
  • $5,614.45 Sessional Lecturer III
    - Long Term

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications
  • 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
Preferred qualifications
  • Industry experience in big data and machine learning in finance
Description of duties
  • 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
Closing Date

08/14/2026, 11:59PM EDT**

Collective agreement details
  • This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
  • It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
  • Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
  • Please note:

    Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.
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