Date Posted: 06/23/2026Req ID: 48640Faculty/Division: Faculty of Arts & ScienceDepartment: Department of Statistical SciencesCampus: St. George (Downtown Toronto)Existing Vacancy: Yes   Description:STA2571HS L0101 - Simulation Methods for Finance & Insurance (0.25 FCE) This course provides a rigorous and hands-on exploration of numerical techniques used to model complex systems in finance and insurance. Students will learn how to simulate and analyze stochastic processes that underlie asset prices, risk dynamics, and actuarial models. Key topics include the generation of random variables, simulation of stochastic differential equations, and advanced Monte Carlo methods such as variance reduction, multilevel and importance sampling, least-squares Monte Carlo, and Markov chain Monte Carlo for Bayesian inference. Emphasis is placed on both the theoretical foundations and practical implementation of these methods in real-world financial and insurance contexts.  

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 6:00 – to 9:00 pm

Tutorial

N/A

Delivery Method

In person

Sessional Dates

January 1, 2027 to April 30, 2027 (first half)

Salary (includes vacation pay)

May be negotiated based on industry experience.

$4,998.74 for Sessional Lecturer I; $5,349.61 for Sessional Lecturer I Long Term; $5,349.61 for Sessional Lecturer II; $5,476.98 for Sessional Lecturer II Long Term; $5,476.98 for Sessional Lecturer III $5,614.45 for Sessional Lecturer III Long Term (Rates are pro-rated to FCE)

  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.   Qualifications: Relevant background and education in the field of Mathematical Finance/Statistics. Currently active in the finance industry with at least five years’ experience in finance/insurance. Prior experience teaching at the university level. 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 22, 2026

  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. 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.Closing Date: 07/22/2026, 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.     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. 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.