Sessional Lecturer - MMF2030H1F: Machine Learning (Section LEC 0101

Course Number and Title

MMF
2030H1F:
Machine Learning (Section LEC 0101)

The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic applications & real industry examples. Topics will cover supervised & unsupervised learning, as well as high level workflows from business problem definition down to analysis and integration with business strategy. Students will be encouraged to understand problems from a quantitative point of view, as well as through the lens of strategy and business usage.

The course will cover theory, applications & common usage of key machine learning techniques, as well as case studies from the financial and professional services industries. The course evaluation will be based on participation and a group project, where students will be encouraged to apply a range of techniques covered to a business problem.

30

n/a

Tuesday 6:00
-9:00pm

The delivery method for this course is in-person.

October 6 – November 3, 2026

• $9,997.48 Sessional Lecturer I
• $10,699.22 Sessional Lecturer I
  - Long Term
• $10,699.22 Sessional Lecturer II
• $10,953.96 Sessional Lecturer II
  - Long Term
• $10,953.96 Sessional Lecturer III
• $11,228.90 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.

• Advanced degree in Mathematical Finance
• Industry experience in supervised and unsupervised learning modern applications of machine learning
• Prior experience teaching this course (or a similar course) at the university level
• Ability and experience teaching large classes

• Industry experience in integration with business strategy

• 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

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.