Job Description

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.

De

scription 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.