Quantitative Researcher applicants have rated the interview process at GSA Capital with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 35% positive. To compare, the company-average is 43.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Researcher roles take an average of 21 days to get hired, when considering 26 user submitted interviews for this role. To compare, the hiring process at GSA Capital overall takes an average of 15 days.
Common stages of the interview process at GSA Capital as a Quantitative Researcher according to 26 Glassdoor interviews include:
Phone interview: 40%
Skills test: 33%
One on one interview: 13%
Presentation: 13%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 3 weeks. I interviewed at GSA Capital (London, England) in Oct 2023
Interview
OA followd by a first interview on ml and Statistics question. 2nd round was some ml questions applied to finance. Didn't make it to the later rounds but I think it was 2 more rounds including one take home coding challenge.
One on One interview with a research team manager. He probes probability questions. Mostly conditional. Atmosphere quite relaxed. It was great fun. Id do it again. Every time it was cool.
I applied online. The process took 2 weeks. I interviewed at GSA Capital (London, England) in Apr 2026
Interview
Did an online assessment, it consisted of mix of probability braintreasers,logical puzzles, machine learning, linear algebra and programming ( mostly sorts and data structures) questions . Was not invited to the next round
I applied online. I interviewed at GSA Capital (London, England) in Dec 2025
Interview
Received Hackerrank OA for first screening. 40 minutes for 25 questions in many topics. Either "multiple choice" or "insert numerical answer" types of questions. The time allocation is very punishing, and I did not make it past their filter.
Interview questions [1]
Question 1
Basic probability (conditional; Bayes theorem; correlation; expected value of order statistics; IID sequences), statistics (linear regression, think how beta varies under changes in the data), brainteasers (inference for ordered information; e.g. five people arrive to a place, incomplete information on arrival times and order, which option is necessarily true (or false)), speed of algorithms and data structure data access (sort, indexing; how fast does a structure access data), linear algebra (matrices, matrix operations; determinants and their properties), zeroes or maximums of curves under domain constraints (also in higher dimensions), mathematical series (where does a given Taylor series converge).