Sessional Lecturer - MMF1941H1F: Dynamic Data Science (Section LEC 0101)

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Until 9/20/2026 First posted July 22, 2026 Last posted July 22, 2026
Job description

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

 

Description:

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.

 

Estimated course enrolment: 30

 

Estimated TA support: n/a

 

Class Schedule                                       Class Schedule: Monday 4:00-7:00 pm
 

The delivery method for this course is in-person.

 

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

 

Salary (per section):
$14,996.21 Sessional Lecturer I
$16,048.82 Sessional Lecturer I - Long Term
$16,048.82 Sessional Lecturer II
$16,430.94 Sessional Lecturer II - Long Term
$16,430.94 Sessional Lecturer III
$16,843.35 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 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

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 [email protected] 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.

 

 

 

 

 

 

 

 

About this role

Summary

Teach advanced data science techniques focusing on dynamic, streaming, and financial data.

Job title

Sessional Lecturer - Dynamic Data Science

Experience level

industry experience

Industry

education

Location requirements

in-person at University of Toronto, Toronto, Canada, no remote work

Salary

$15k–$17k

Management role

No

Skills & keywords

Required skills

industry experience in data science techniquestime seriesstreaming datateaching experience

Preferred skills

predictive modelingmachine learning algorithmsstatistical analysis

Specializations

data sciencemachine learningtime seriespredictive modelingstatistical analysis
Locations

Structured locations inferred from the posting.

Toronto, ON, Canada

On-site City
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