Quant Researcher applicants have rated the interview process at IMC Trading with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 52.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Quant Researcher roles take an average of 21 days to get hired, when considering 10 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 Researcher according to 10 Glassdoor interviews include:
Phone interview: 31%
One on one interview: 23%
Skills test: 15%
IQ intelligence test: 8%
Drug test: 8%
Personality test: 8%
Presentation: 8%
Here are the most commonly searched roles for interview reports -
Online Assessment + Online Video + Phone Interview (one problem-solving and one behavioral)+ Virtual Super day (three problem-solving and one behavioral if passed the technical ones). The entire process takes about one month to complete.
Interview questions [1]
Question 1
Explain statistical concepts to non-technical audience.
I participated in an online coding interview, which was followed by an invitation to a Zoom interview. While the coding challenge itself was fairly standard, the scheduling process was extremely disorganized. After several unsuccessful attempts to find a suitable time, I ultimately decided to decline their interview invitation.
It took two weeks to hear back from them. Videointerview, 1 HR questions and then some Probabiliy questions . The interview lasted one hour. With a short introduction on how everything works .
I applied online. The process took 3 weeks. I interviewed at IMC Trading (Amsterdam) in Oct 2024
Interview
Phone screen with recruiter + two online interview with quants -> rejected
I interviewed their crypto desk. They keep asking me what kind of algorithm I used in my current job, which I felt was a bit sketchy.
Interview questions [1]
Question 1
Given a basic ML trading algorithm, how do you improve it?