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Sessional Lecturer - STA2570HS - Numerical Methods for Finance and Insurance

Date Posted: 07/02/2025
Req ID: 43834
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)

 

Description:

STA2570HS - Numerical Methods for Finance and Insurance (0.5 FCE)

This course explores the practical application of various numerical methods to finance and insurance modeling. It covers topics including: the generation of random variables, simulating solutions of stochastic differential equations, variance reduction methods, multi-level sampling, least square Monte Carlo, Markov chain Monte Carlo, and solving partial difference equations stemming from derivative valuation, optimal control, and optimal stopping.

 

Estimated Course Enrolment

Up to 38

 

Estimated TA Support

70 hours. The availability of TA support is contingent on class enrolment and class size.

Schedule

Tuesdays 6:00pm to 9:00pm

Tutorial

Mondays 4:00pm to 5:00pm

Delivery Method

In person

Sessional Dates

January 1, 2026 to April 30, 2026

Salary (includes vacation pay)

May be negotiated based on industry experience.

$9,820.70 for Sessional Lecturer I;

$10,510.04 for Sessional Lecturer I Long Term;

$10,510.04 for Sessional Lecturer II;

$10,760.28 for Sessional Lecturer II Long Term;

$10,760.28 for Sessional Lecturer III

$11,030.36 for Sessional Lecturer III Long Term

(Rates are pro-rated to FCE)

 

Qualifications: Minimum Master’s degree in Statistics, Applied Statistics, Actuarial Science, Biostatistics, or related discipline required, PhD preferred in Statistics, Applied Statistics, Actuarial Science, Biostatistics, or related discipline. Prior experience teaching at the university level.

 

Description of duties: Teaching; setting and invigilating term tests and final examinations; reporting final grades; counseling students; supervising teaching assistant(s) if applicable.

 

Closing Date: July 31, 2025

 

Application Procedure: All individuals interested in the position must submit a Curriculum Vitae and the CUPE 3902 Unit 3 Application Forms available at https://uoft.me/CUPE-3902-Unit-3-Application-Form to unit3apps.statistics@utoronto.ca.

Closing Date: 07/31/2025, 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.

 

Candidates who are members of Indigenous, Black, racialized, and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position.

 

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 uoft.careers@utoronto.ca.


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