CUPE - Winter 2025 - TA - ADM3354

Desmarais Hall

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Location where work is to be performed:

Main Campus

Session:

2025 Trimestre d'hiver | Winter Term

Faculty:

École de gestion Telfer / Telfer School of Management

Unit:

Telfer School of Management_Students and Casuals

Job Classification:

Teaching Assistant/Demonstrator/Lab Monitor (CUPE)

Posting Type:

Cours précis / Specific course

Course Title:

Financial Modeling

Course Code:

ADM3354

Section:

Supervisor name (if known):

Date Posted:

November 01, 2024

Applications must be received BEFORE:

November 18, 2024

Description of tasks (hours):

Recherche / Research:0

Préparation / Preparation:0

Contact avec étudiants / Contact with Students:36

Correction - Notation / Grading:17

Surveillance / Proctoring:0

Formation / Training:0

Autre / Other:77

Number of positions:

1

Expected Enrolment:

n/a

Work Start Date:

January 01, 2025

Work End Date:

April 30, 2025

Total Work Hours:

130

Language of Work:

Anglais | English

Graduate Hourly Rate:

39.05

Undergraduate Hourly Rate:

32.54

Requirements and Nature of Work:

Nature of Work

Marking midterm and Individual Assignment

In class presence

Conduct a python based module

Minimum qualifications

Minimum C.G.P.A. of 6.0; 

Minimum grade of A- in ADM 3354 or its equivalent;

Candidates with Financial, Data Science background, and Python programming skills ]preferred

Experience with online course delivery considered an asset

Experience with online videoconferencing environment considered an asset (ex. Microsoft Teams)

Comments 

In class presence required  -Mo 1:00PM-2:20PM and We 11:30AM-12:50PM

Candidates on short list may be interviewed by course professor/coordinator.

Qualified applicants will be required to do a written examination and earn a minimum of 80%. 

Please note that the posted hours could be increased due to registration. 

Please note, you will be required to have access to a computer, internet, microphone and webcam.

Please note that the teaching method will be delivered in the following : in person. It is possible that the teaching or work method will change due to health measures or other reasons.

Additional Information and/or Comments:

All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.

The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

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Tags: Classification Python Research Teaching

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