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%
IQ intelligence test: 20%
Phone interview: 20%
Skills test: 20%
Here are the most commonly searched roles for interview reports -
First round was coding round. It was through code divas. Needed 55% to qualify this round. Three coding question were asked. I solved two complete and one partially. I was selected for the interview round. First of all I was not shortlist then again after three months they said I was shortlisted for interview.
Interview questions [1]
Question 1
Asked to solve a string question. To identify the letters in the string if it was a letter or number ignoring spaces.
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.