Sessional Lecturer - MMF1927H: Workshop in Mathematical Finance (Section LEC 0101)

Date Posted: 05/06/2026
Req ID: 47976
Faculty/Division: Faculty of Arts & Science
Department: Dept of Economics
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes

Description:

Course Number and Title: 

 MMF1927H: Workshop in Mathematical Finance (Section LEC 0101)

Course Description:
This one-week intensive workshop bridges the gap between quantitative finance theory and modern systematic investment practice. Students are introduced to the end-to-end research pipeline used in quantitative asset management: from sourcing and cleaning financial and alternative data, through feature construction and supervised machine learning, to translating model outputs into investable signals and portfolio positions. The course is structured around two group projects, both following the same systematic research process and evaluated using similar metrics: one in cross-sectional equity return prediction and one in alternative data signal construction using weather anomalies and agricultural futures. Sessions are a combination of reviewing relevant material in class and hands-on Python-based walkthrough, with each evening progressing one stage further along the pipeline.

Estimated course enrolment: 34

Estimated TA support: n/a

Class Schedule                                       Class Schedule: Monday 6:00-9:00pm; Tuesday, 6:00-9:00pm; Wednesday 6:00-9:00pm; Thursday 6:00-9:00pm; Friday 6:00-9:00pm
 

The delivery method for this course is in-person.

Sessional dates of appointment: July 27-31, 2026

Salary (per section):

$9,820.70 Sessional Lecturer I

$10,510.04 Sessional Lecturer I – Long Term

$10,510.04 Sessional Lecturer II

$10,760.28 Sessional Lecturer II – Long Term

$10,760.28 Sessional Lecturer III

$11,030.36 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:

• PhD in Mathematical Finance
• Industry experience in Quantitative Research and Trading and Data Science
• Prior experience teaching this course (or a similar course) at the university level
• Ability and experience teaching large classes

Preferred qualifications:

• Additional qualifications as FRM (Financial Risk Manager) and CFA (Chartered Financial Analyst)

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: 

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: 05/08/2026, 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.

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 

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 uoft.careers@utoronto.ca.

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