Quantitative Researcher applicants have rated the interview process at Bloomberg with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 54.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Quantitative Researcher roles take an average of 18 days to get hired, when considering 10 user submitted interviews for this role. To compare, the hiring process at Bloomberg overall takes an average of 23 days.
Common stages of the interview process at Bloomberg as a Quantitative Researcher according to 10 Glassdoor interviews include:
Phone interview: 57%
One on one interview: 14%
Group panel interview: 14%
Skills test: 14%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Bloomberg (New York, NY) in Dec 2019
Interview
Initial conversation with recruiter. If that went well, then an important interview with the hiring manager, and after that more interviews with a couple of potential colleagues, and finally, a seminar presentation to the wider group.
Interview questions [1]
Question 1
Tested breadth of statistical and programming knowledge.
I applied online. I interviewed at Bloomberg (New York, NY) in Aug 2025
Interview
The interview process consisted of three 45-minute rounds across two days. The first focused heavily on Pandas with multiple questions, which felt narrowly scoped and time-pressured. The second round went better, but the final interviewer appeared late and disengaged. Communication afterward was minimal, and the role was later reposted.
Two rounds of technical (First round OA, second round coding project of PCA regression within an hour without using packages)
One round presentation to the entire team
Extremely demanding in mathematics / stochastic calculus / statistics
Firstly you will have a first round written test and the second round written test is a programming test. The first round interview overall is hard. You will be asked anything from finance, option pricing to programming.