Quantitative Researcher Intern applicants have rated the interview process at Jane Street with 3.4 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 74% positive. To compare, the company-average is 63.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Researcher Intern roles take an average of 18 days to get hired, when considering 19 user submitted interviews for this role. To compare, the hiring process at Jane Street overall takes an average of 17 days.
Common stages of the interview process at Jane Street as a Quantitative Researcher Intern according to 19 Glassdoor interviews include:
Phone interview: 35%
Skills test: 18%
Presentation: 18%
IQ intelligence test: 12%
Personality test: 6%
Other: 6%
One on one interview: 6%
Here are the most commonly searched roles for interview reports -
2 rounds + 4 interviews on 1 final day. Pretty hard problems on finals including: probability theory, researching, programming and betting. Wasn't easy. Failed on continuous probabilities . . .
I applied online. I interviewed at Jane Street (London, England) in Jan 2026
Interview
I did a Zoom interview.
The interveiwer was kind and asked me some probability questions.
I stumbled a bit but answered correctly in the end. However, I didn't get an offer so maybe they want someone who answers straight away.
Interview questions [1]
Question 1
Startegy of changing a line.
Is this a realistic strategy? What would change in the real world?
Technical interview round 1 and 2. Two math problems/brain teasers. Round 1 is easy, but round 2 becomes more challenging. Problems are well designed with multiple follow ups. Interviewer super friendly and nice. Great people and nice culture.
Very friendly interviewer and relatively easy questions. Quite organised in their interview process, with clear guidelines as to how to approach the interview. Focus is to explain the rationale and not just get the correct answer.
Interview questions [1]
Question 1
Probability of raining on sunday or saturday based on individual probabilities. Give upper and lower bounds on the probability of the union.