G-Research Quantitative Research interview questions
based on 72 ratings - Updated Mar 19, 2026
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G-Research interviews FAQs
Candidates applying for Quantitative Research roles take an average of 30 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at G-Research overall takes an average of 30 days.
Common stages of the interview process at G-Research as a Quantitative Research according to 1 Glassdoor interviews include:
Phone interview: 50%
Presentation: 50%
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I applied online. I interviewed at G-Research (London, England) in Mar 2026
Interview
The interview process consists of multiple stages with hard quantitative bars to be met. After CV screening, they send you their proprietary online assessment of 10 MC. Some questions seem unusual, some are intentionally tricky, but most are similar to standard quant brainteasers and you can pass if you have really grinded through standard material. Then, there is an online interview with a quant which will ask you technical questions in barrage. The bar probably depends on your answers' grades and how many questions you can answer. I did not expect some questions, so I was caught unprepared and I fumbled spectacularly.
I applied through a recruiter. I interviewed at G-Research in Dec 2025
Interview
I was sent a multiple choice test consisting of 10 questions, each with 5 possible answers, and 90 minutes to solve them all. The safety checks were limited to tracking whether you'd switch tab on the browser. Some questions were easy, others required actual math knowledge (had to find the minimizer function of some cost and how the cost scales with the initial condition). The coding questions were mostly easy, but one of them required python-specific knowledge.
Interview questions [2]
Question 1
Eigenvalues of the daily covariance matrix of n stocks with equal volatility and equal pairwise correlation.
lots of prob stats, i prepared using the greenbook, but I guess i didnt do as well as i thought i did
I also did some review of combinatorics and statistics, but still unsure about my performance