Sessional Lecturer - MMF1922H1F: Data Science (Section LEC 0101)
About the role
Date Posted: 07/21/2026Req ID: 49466Faculty/Division: Faculty of Arts & ScienceDepartment: Dept of EconomicsCampus: St. George (Downtown Toronto) Existing Vacancy: Yes
Description:Course Number and Title
MMF1922H1F: 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 The delivery method for this course is 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
Application instructions
Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located here: https://www.economics.utoronto.ca/index.php/index/recruiting/sessionalOpeningsForm. Please attach the additional documents in one PDF file format to the application form. If you have any questions, please contact sessional.economics@utoronto.ca All applicants must have a valid email address.
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.
Not the right fit? Search for Sessional Lecturer jobs in Toronto, Ontario, Canada
About University of Toronto
The Department of Leadership, Higher & Adult Education (LHAE) at the Ontario Institute for Studies in Education is a dynamic and inclusive learning community comprised of scholars focused on educational leadership and administration, policy and change, social justice, and community engagement.
Our department considers education broadly, as it occurs inside and outside of formal educational settings. Our courses and programs consider relations between different social settings, such as families, workplaces, local communities, and national and international contexts.
Themes running through our research and teaching include equity and social justice, professional education, policy studies, educational leadership and organizations and adult learning within institutions and settings.
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Sessional Lecturer - MMF1922H1F: Data Science (Section LEC 0101)
About the role
Date Posted: 07/21/2026Req ID: 49466Faculty/Division: Faculty of Arts & ScienceDepartment: Dept of EconomicsCampus: St. George (Downtown Toronto) Existing Vacancy: Yes
Description:Course Number and Title
MMF1922H1F: 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 The delivery method for this course is 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
Application instructions
Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located here: https://www.economics.utoronto.ca/index.php/index/recruiting/sessionalOpeningsForm. Please attach the additional documents in one PDF file format to the application form. If you have any questions, please contact sessional.economics@utoronto.ca All applicants must have a valid email address.
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.
Not the right fit? Search for Sessional Lecturer jobs in Toronto, Ontario, Canada
About University of Toronto
The Department of Leadership, Higher & Adult Education (LHAE) at the Ontario Institute for Studies in Education is a dynamic and inclusive learning community comprised of scholars focused on educational leadership and administration, policy and change, social justice, and community engagement.
Our department considers education broadly, as it occurs inside and outside of formal educational settings. Our courses and programs consider relations between different social settings, such as families, workplaces, local communities, and national and international contexts.
Themes running through our research and teaching include equity and social justice, professional education, policy studies, educational leadership and organizations and adult learning within institutions and settings.