Summer Internship applicants have rated the interview process at BNY with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 64.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Summer Internship roles take an average of 19 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at BNY overall takes an average of 26 days.
Common stages of the interview process at BNY as a Summer Internship according to 3 Glassdoor interviews include:
One on one interview: 40%
Skills test: 20%
IQ intelligence test: 20%
Phone interview: 20%
Here are the most commonly searched roles for interview reports -
I applied through other source. The process took 3 weeks. I interviewed at BNY in Apr 2020
Interview
The interview process was overall smooth and the interviewers seemed nice. But they did not respond to people who they have put on hold and never listen back from them. Some people who were selected, an interview was not scheduled for them, and later after a few mails were given the opportunity. They don't respond timely.
Interview questions [1]
Question 1
Coding questions, questions on DBMS, and operating systems(as I said it to be my favorite subject). Networking basics were also tested.
The interview process had been submitting an application, followed by a telephone screening which had been on the spot and a final panel interview. The panel interview consisted of two interviewers who asked competency questions.
Three interviews one quick phone call with HR and the following two 30mins video calls with managers.. Super easy. Only technical question was "what is a derivatives?". Mainly about motivation and some classical behavioral question.
Interview questions [1]
Question 1
How do you handle a stressful situation/stressful period.
I applied through college or university. I interviewed at BNY (Pune) in Aug 2025
Interview
They emphasized project and communication skills, discussed technologies used, suggested alternatives, and explained scaling strategies like cloud deployment, modular architecture, load balancing, and database optimization for handling larger datasets efficiently.