University of Toronto Research Assistant interview questions
Updated 28 Apr 2026
based on 68 ratings
Difficulty
Easy
Experience
Very positive
How others got an interview
48%
Applied online
Applied online
23%
Campus recruiting
Campus recruiting
17%
In person
In person
10%
Employee referral
Employee referral
2%
Other
Other
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Research Assistant applicants have rated the interview process at University of Toronto with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 100% positive. This is according to Glassdoor user ratings.
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I applied online. The process took 1 week. I interviewed at University of Toronto (Toronto, ON)
Interview
Applied through UofT's portal and was emailed directly by professor. Only one round of interviewing with prof. Seemed that we got along great, pretty straightforward interview, less focus on anything behavioural, more focus on the research area. Later was sent an offer.
I applied through other source. I interviewed at University of Toronto
Interview
I met the prof at an AI conference at the University of Toronto. I read some of his papers that I was interested in, and brought them up in conversation. I was then asked to join a lab meeting, and eventually got put on a random project.
I interviewed at University of Toronto (Toronto, ON)
Interview
BQ – Resume and Experience
Tell me about yourself.
Walk me through your resume. Focus on quant research, factor strategies, coding, and data-driven work.
What was your most technical project? (e.g., rolling beta detection + factor strategy or portfolio optimization work)
What’s a time you worked with incomplete or messy data? How did you clean and validate it?
Describe a time you had to debug or fix a mistake in your analysis.
Interview questions [1]
Question 1
Literature Review
Ask about their literature review process:
Mention how you read research papers (Fama-French, factor IC studies, etc.) before designing your factor strategy.
Explain how you evaluated what factors are worth testing and how you aligned with previous findings.