Sessional Lecturer – MMF1941H1F: Agile Data Science (Section LEC 0101)
Date Posted: 07/21/2026

Req ID: 49470

Faculty/Division: Faculty of Arts & Science

Department: Dept of Economics

Campus: St. George (Downtown Toronto)

Existing Vacancy: Yes

Course Number and Title: MMF1941H1F: Dynamic Data Science (Section LEC 0101)

Course Description: 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.

Class Schedule: Monday 4:00-7:00 pm. Delivery method: in-person.

Sessional dates of appointment: September 14 – November 30, 2026.

Qualifications

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

Preferred Qualifications

Industry experience in predictive modeling, machine learning algorithms, and statistical analysis

Responsibilities

Preparation and delivery of lectures.

Preparation, supervision and grading of tests and examinations in accordance with university regulations.

Providing scheduled office hours for academic counseling of students.

Contact: [email protected]

Closing Date: 08/14/2026, 11:59PM EDT.

Collective Agreement Information: 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.

Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact [email protected].

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📌 Sessional LecturerF: Dynamic Data Science (Section LEC 0101) (Ontario)
🏢 University of Toronto
📍 Ontario