Role: Summer Analyst Intern
College: Not Specified
Interview Date: 2025
Interview Type: Internship
Result: Selected
Difficulty: Medium
Rounds: 3 rounds
Topics Asked: Data Structures, Algorithms, SQL, DBMS, System Design (scaling, concurrency), HR questions
Experience:
This experience is for a Goldman Sachs Summer Analyst Internship in 2025.
- Round 1 (Technical Round): The interviewer started with "Tell me something that's not mentioned in your resume." A DSA problem was given without specifying the expected approach; the candidate solved it using a DSA method, then was asked to solve it using SQL. The interviewer appreciated the candidate's resilience and learning mindset. The round concluded with classic HR questions like "Why should we hire you?" and "Why is Goldman Sachs important to you?"
- Round 2 (Technical Round): This round focused on deeply exploring one problem after a brief introduction. The challenge presented was: "Given a grid with a start cell and end cell, and coins placed in each cell, find a path from the start to the end that maximizes the total coins collected." There was also a discussion about the technical aspects of a site from the candidate's resume. Another DSA problem was "Given two strings A and B, find the minimum length substring of A that contains all characters of B (order doesn't matter)."
- Round 3 (HR Round): While not a separate round, HR questions were integrated into the technical discussions. Topics included handling concurrency in a theater booking system (preventing two users from booking the same seat, managing payment failures) and optimizing the customer experience during this process. The interviewer also inquired about identifying and preventing payment failures before the user reaches the payment page.
Tips: It's crucial to write only true information on your resume. Be prepared for questions like "Tell me something not on your resume." During coding rounds, share your approach out loud and keep the interviewer engaged. If you get stuck, don't hesitate to ask for hints; interviewers value clarity, communication, and a learning mindset.