Quantitative Trading Analyst applicants have rated the interview process at DRW with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 42% positive. To compare, the company-average is 45.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Trading Analyst roles take an average of 12 days to get hired, when considering 12 user submitted interviews for this role. To compare, the hiring process at DRW overall takes an average of 19 days.
Common stages of the interview process at DRW as a Quantitative Trading Analyst according to 12 Glassdoor interviews include:
Phone interview: 37%
One on one interview: 21%
Group panel interview: 16%
Presentation: 11%
Drug test: 5%
Personality test: 5%
Skills test: 5%
Here are the most commonly searched roles for interview reports -
Applied online, received invitation to do the test to do an online math test a few days later. Did not hear back, assuming I did not meet the benchmark. Challenging questions
I applied online. I interviewed at DRW (London, England)
Interview
Zoom Video Interview
This interview lasted ~1hr with a junior Quantitative Trader.
Was asked Bayesian probability, Markov Chains, motivations for DRW, why I am a good fit for the job.
Application online, OA, screening call. did not make it past the screening call with HR rep so cannot speak to rest of process but first 3 were fairly straightforward and not too hard at all
I applied online. I interviewed at DRW (Singapore) in Sep 2023
Interview
The first stage was a take-home technical assessment containing a single programming question. While I was given almost 2 hours to solve the problem, I solved it in slightly under 30 minutes, and spent the rest of the time being paranoid about whether my answer was sensible.
The second stage was a pleasant informal call with HR.
The third stage was a video call with two quant trading analysts, who asked some simple probability and statistics questions. I fumbled and didn't get to proceed any further.
Interview questions [1]
Question 1
Binomial distribution (need to know mean and variance in closed form), and linear regression.