I applied through a recruiter. I interviewed at G-Research (Paris) in Oct 2016
Interview
The first step is a 45min phone call, where you are told what they do at g-research and are asked a few general questions on stat/ML. Then, you have to make a 1:30 written exam about basic stat and ML, not difficult but very long (you have to be very fluent with using basic stats like Bayes rule etc). I was not prepared enough for this.
Interview questions [1]
Question 1
How would you code a multiclass version of logistic regression ?
What is a naive Bayes classifier?
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.
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
Fairly straightforward. The questions were pretty standard for the most part, similar to what you would see in other quant researcher interviews, maybe a bit more on the stats end
1
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