Sessional Lecturer, STA2571HS L0101 - Simulation Methods for Finance & Insurance
About The Position
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.
Requirements
- 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.
Nice To Haves
- Qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III
Responsibilities
- Teaching
- setting and invigilating term tests and final examinations
- reporting final grades
- counseling students
- supervising teaching assistant(s) if applicable
Benefits
- Includes vacation pay
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Education Level
No Education Listed
