Quant Research Intern applicants have rated the interview process at Citadel with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 53% positive. To compare, the company-average is 46.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Quant Research Intern roles take an average of 22 days to get hired, when considering 15 user submitted interviews for this role. To compare, the hiring process at Citadel overall takes an average of 20 days.
Common stages of the interview process at Citadel as a Quant Research Intern according to 15 Glassdoor interviews include:
Phone interview: 25%
One on one interview: 25%
Background check: 17%
Skills test: 17%
Presentation: 8%
IQ intelligence test: 8%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Citadel (New York, NY) in Sep 2024
Interview
they have asked me about my research in reinforcement learning - she asked quite in depth questions about technical aspects
she followed up by game theoretical questions -- it lasted for 1 hour
the games were multi stage and got harder with additional modifications
Interview questions [1]
Question 1
can neural networks with appropriate regularization replicate rl training
I applied through a recruiter. I interviewed at Citadel
Interview
After the initial recruiter call, I moved on to a 45-minute virtual interview. The session was a mix of LeetCode-style algorithmic problems, along with some probability and statistics questions. The coding portion wasn't too difficult—I'd say it was around the Medium level.
Interview questions [1]
Question 1
X,Y and Y,Z positive correlated. What can we say about X,Z
I applied through a recruiter. I interviewed at Citadel
Interview
Reach out directly without oa, give some basic probability and stats question, also ask about something on the resume. the interviewer is pretty nice, and answered all questions, still got rejected lol
Two phone screens, one was a Leetcode Easy coding problem along with general ML questions. Second asked some probability statistics questions. Last one was about my research and a general feeler about my knowledge of economics and current events.
Interview questions [1]
Question 1
If you have a dataset with many features, what methods can you used to reduce the dimension?