Quantitative Researcher applicants have rated the interview process at J.P. Morgan with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 61.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Researcher roles take an average of 20 days to get hired, when considering 22 user submitted interviews for this role. To compare, the hiring process at J.P. Morgan overall takes an average of 27 days.
Common stages of the interview process at J.P. Morgan as a Quantitative Researcher according to 22 Glassdoor interviews include:
Phone interview: 41%
Presentation: 24%
Drug test: 12%
One on one interview: 12%
Personality test: 6%
Skills test: 6%
Here are the most commonly searched roles for interview reports -
45mins phone interview directly with QR members. No HR phone screening. Apply online, receive interview request 3 weeks after. Presumably there are three more interview rounds to get into super day. No call back after.
Interview questions [1]
Question 1
Explain logistic regression. Some statistics questions
Smooth interview process. Superday was with lots of different people, where questions varied between technical, behavioural, and motivational. Definitely best to know technical information and how they use it in the division.
I applied online. The process took 4 weeks. I interviewed at J.P. Morgan (New York, NY) in Oct 2025
Interview
The online assessment was your typical hackerrank style. then the zoom interview was more personal, with the background and resume walk through, chatting with interviewer, and live coding component. The interviewer was very nice, if you get a little stuck they will help. It was more conversational think out loud than try to get a quick answer
7 one to one interviews, 45 min each. A quick review on cv no behavior questions. all technique questions. Maths, stats, machine learning (with a focus on tree models), brain teaser, and some coding questions (leecode easy)
Interview questions [1]
Question 1
All technical questions, maths stats machine learning coding