Date Posted: 05/06/2026
Req ID: 47922
Faculty/Division: Faculty of Applied Science & Engineering
Department: Dept of Mechanical & Industrial Eng
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes
Description:
Course number and title: MIE1622S – Computational Finance and Risk Management
Course description: The objective of the course is to examine the construction of computational algorithms in solving financial problems, such as risk-aware decision-making, asset pricing, portfolio optimization and hedging. Considerable attention is devoted to the application of computational and programming techniques to financial, investment and risk management problems. Materials in this course are quantitative and computational in nature as well as analytical. Topics include mean-variance portfolio optimization, simulation (Monte Carlo) methods, scenario-based risk optimization, hedging, uncertainty modeling, asset pricing, simulating stochastic processes, and numerical solutions of differential equations. Python is the primary computational and modeling software used in this course, we also briefly describe other programming environments such as R, Matlab and C/C++ used in financial engineering. Practical aspects of financial and risk modeling, which are used by industry practitioners, are emphasized.
Estimated course enrolment (approximately): TBD
Estimated TA support: TBD
Class schedule: TBD
Sessional dates of appointment: January to April 2027
Salary: $18,000 (per half course inclusive of vacation pay) 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: Applicants should have a strong record of presenting lectures or acting as a teaching assistant.
Sessional Lecturer - MIE1622S - Computational Finance and Risk Management • Toronto, ON, CA
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