Two Sigma Quant Research Intern interview questions
Updated Nov 6, 2025
based on 10 ratings
Difficulty
Average
Experience
Mostly positive
How others got an interview
75%
Applied online
Applied online
13%
Recruiter
Recruiter
13%
Campus Recruiting
Campus Recruiting
Interview search
10 interviews
Viewing 1 - 5 of 10 Interviews
Two Sigma interviews FAQs
Quant Research Intern applicants have rated the interview process at Two Sigma with 3.4 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 43.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Quant Research Intern roles take an average of 26 days to get hired, when considering 10 user submitted interviews for this role. To compare, the hiring process at Two Sigma overall takes an average of 26 days.
Common stages of the interview process at Two Sigma as a Quant Research Intern according to 10 Glassdoor interviews include:
One on one interview: 50%
Phone interview: 25%
Skills test: 25%
Here are the most commonly searched roles for interview reports -
Applied online and received the online assessment about two weeks later. After that, I was invited to the first-round interview focused on data analysis. I reached the final stage, which consisted of three rounds, but did not pass.
I applied online. The process took 4 weeks. I interviewed at Two Sigma (New York, NY) in Dec 2024
Interview
Same OA as last years. Nailed all three, but didn't get any next step invitation. Last year the interviewer was late for 20 min, not respectful during the interview, and intentionally gave out hard questions.
I applied online. I interviewed at Two Sigma (New York, NY) in Jan 2024
Interview
Got sent an online assessment after submitting my resume, it consisted of two questions about coding and regression. They gave an hour to complete it. The questions were not very hard, but they had some edge cases.
Interview questions [1]
Question 1
Build a linear interpolator given some criteria. Use regression to predict temperature in a city given some data.