MIE1622H – Computational Finance and Risk Management

Job title: MIE1622H – Computational Finance and Risk Management

Job description: Date Posted: 10/19/2023

Req ID: 34531

Faculty/Division: Faculty of Applied Science & Engineering

Department: Dept of Mechanical & Industrial Eng

Campus: St. George (Downtown Toronto)

Description:

Description: he 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: TBD

Estimated TA support: TBD

Class schedule: TBD

Sessional dates of appointment: January 2024 – April 2024

Salary: $16,000 (per half course inclusive of vacation pay) per section. 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. Applicants must be able to demonstrate considerable depth of knowledge and experience in the subject area. The applicant must have excellent communication skills in both oral and written.

Description of duties: Preparation of lectures and course materials; delivery of lectures; supervision of Teaching Assistants; setting and marking of projects, tests and exams; evaluation of final grades; contact with students.

Application instructions: Please submit a Course Instructor Application Form, Resume and Teaching Dossier to the Manager, Academic Programs Carla Baptista at no later than November 8, 2023 at 11:59pm (Eastern Time). The Course Instructor Application Form can be found on the MIE Careers page at:

If during the application and/or selection process you require accommodation due to a disability, please contact Carla Baptista at . The appointment will be made at the earliest possible time before the commencement of classes by the Associate Chair (Graduate) of the Department of Mechanical and Industrial Engineering. No other offers or notices of the outcome of applications are authorized by the Department. Final availability of the position is contingent upon final course determination, enrolment, budgetary considerations, and the final determination of assignments flowing from Article 14:03 of the Collective Agreement.

Closing Date: 11/08/2023, 11:59PM EDT

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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.

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