Sessional Lecturer, STA2570H – Numerical Methods for Finance and Insurance

Job title: Sessional Lecturer, STA2570H – Numerical Methods for Finance and Insurance

Job description: Date Posted: 10/03/2023

Req ID: 34187

Faculty/Division: Faculty of Arts & Science

Department: Department of Statistical Sciences

Campus: St. George (Downtown Toronto)

Description:

STA2570H – 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

30

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 2:00 to 3:00 pm

Delivery Method

In Person – Subject to adjustments imposed by public health requirements for physical distancing.

Sessional Dates

January 1, 2024 to April 30, 2024

Salary – includes vacation pay

May be negotiated based on industry experience.

$9,457.90 for Sessional Lecturer I;

$9,930.79 for Sessional Lecturer I Long Term;

$10,121.77 for Sessional Lecturer II;

$10,326.62 for Sessional Lecturer II Long Term;

$10,362.76 for Sessional Lecturer III

$10,570.02 for Sessional Lecturer III Long Term

(Rates are pro-rated to FCE)

Qualifications: PhD in the field of Mathematical Finance. Currently active in the finance industry with at least five years’ experience in risk management. Prior experience teaching at the university level. Prior experience teaching STA2570 or a similar course is an asset. Note: Applicants may be asked to supply references.

Description of duties: Preparation and delivery of lectures in this course. Supervision of teaching assistant(s) assigned to this course and paid by university. Preparation, supervision and grading of assignments, tests and examinations in accordance with university regulations

Closing Date: October 30, 2023

Application Procedure: All individuals interested in the position must submit a Curriculum Vitae and the CUPE 3902 Unit 3 Application Forms available at to .

Closing Date: 10/23/2023, 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.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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 .

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