Quant Research Intern applicants have rated the interview process at IMC Trading with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 55% positive. To compare, the company-average is 52.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Quant Research Intern roles take an average of 35 days to get hired, when considering 11 user submitted interviews for this role. To compare, the hiring process at IMC Trading overall takes an average of 22 days.
Common stages of the interview process at IMC Trading as a Quant Research Intern according to 11 Glassdoor interviews include:
One on one interview: 38%
Personality test: 25%
Skills test: 13%
Group panel interview: 13%
Presentation: 13%
Here are the most commonly searched roles for interview reports -
Online assessment, video interview; human resourse calling; Basically yes it is tech interview and you will be asked a lot of questions about math, stats and brain teasers. It gives results in a very high speed so it is necessary to apply for them as soon as possible.
I applied online. I interviewed at IMC Trading (Sydney) in Apr 2025
Interview
First round: casual chat with HR about background and resume, why company, asked about decision making with incomplete information. Pretty chill with no technical questions or brain teaser. There are two rounds afterwards that I have not yet completed, still in progress.
Interview questions [1]
Question 1
What is an example where you have to make a decision with incomplete information?
(Chicago) I applied online. First an Online Assessment, Second a zoom interview with a recruiter, Third, a shared screen technical interview with a quant researcher. I got rejected here.
But following this they will have an in-person interview at their office.
Interview questions [1]
Question 1
First: OA with probability/game questions.
Second: a zoom interview asking about career goals and behavioral questions.
Third, a shared screen technical interview with a quant researcher. A problem solving DP problem/game. Then 3 coding challenge to code solutions for the same problem. [basically all questions about dynamic programming]
The quants are freshly graduated from bachelor or master, so if you have a PhD, dont bother applying there! also they might have a positive bias for indians (most of the quants are from there)
About the process: First there is a hackerrank test, combination of probability, leetcode style and pandas questions. Then there is a phone interview with leetcode and probability questions. And finally on-sight, where they ask questions similar to the previous rounds. OLS, general questions on time series modeling for trading, some easy/medium leetcode and pandas. remember basics of ML and data preprocessing.
Interview questions [1]
Question 1
what machine learning models you know? how to preprocess the data for each one of them? how to model time series for trading? how to solve OLS?