Goldman Sachs Interview Questions, Process, and Tips

F2f virtual coding round

Q1. DSA questions were asked
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Q2. Oops questions were asked
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Q1. Java questions were asked
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Q2. Sql questions were asked
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Q1. System design questions were asked
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Q2. LLM questions was asked
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Q1. Behavioural questions were asked
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Q2. Managerial questions were asked
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Q1. About work and roles and responsibilities
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Q2. Terraform and best practices
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Q1. 1. Live coding question on DP - Discussion on other approaches and complexity
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Q2. 2. Questions on responsibilities delivered in current role
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I had an incredibly disappointing interview experience with Anshul, who claimed to have 9 YOE. The interview began with system design question and I nit even given any time to think of the solution. When I tried gathering my thoughts, Anshul accused me of of cheating even though I volunteered to share my screen to prove my honesty. He was not only rude but highly unprofessional.

The situation worsened as the interview progressed. My correct answers were repeatedly declared wrong. For instance, when I stated that "MySQL is a relational database", Anshul incorrectly insisted that t is not. Shockingly he did not agree that a database would be necessary for a link shortener and further claimed that MySQL is a document database.

An interviewer with 9 years of experience should have a basic understanding of fundamental concepts. The interviewer's lack of knowledge and poor conduct makes me doubt the whole hiring process.
The other person in panel, Priyanka, was mute throughout.

Anyone applying here should reconsider it as this can be harmful to a professional's growth.

Coder Pad round -> 60 mins
1. Leetcode Hard Question
2. Debug the code and make a solution work for a given problem statement

Q1. LLD for Parking Lot System
Ans. 
Design the Low Level Design (LLD) for a Parking Lot System
• Divide the system into modules like parking lot, vehicle, ticket, payment, etc.

• Define the classes and their relationships, such as ParkingLot, Vehicle, Ticket, Payment

• Include methods for functionalities like parking a vehicle, issuing a ticket, processing payment

• Consider scalability and performance aspects in the design

• Implement data structures like queues for m
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They asked on SparkSQl, Pandas SQL and also on SQL

They asked on Python and DS

Q1. Spark Architecture
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Q2. Algorithms and Data Structres
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Q1. What do know about fixed income securities
Ans. 
Fixed income securities are investments that pay a fixed interest or dividend income, such as bonds and certificates of deposit.
• Fixed income securities are debt instruments issued by governments, corporations, or other entities to raise capital.

• Investors receive regular interest payments until the maturity date, when the principal amount is repaid.

• Examples include Treasury bonds, corporate bonds, municipal bonds, and p...read more
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Q2. What is clean price and Dirty price
Ans. 
Clean price is the price of a bond excluding accrued interest, while dirty price includes accrued interest.
• Clean price is the price of a bond without the accrued interest, while dirty price includes the accrued interest.

• Clean price is also known as flat price, while dirty price is also known as full price.

• Clean price is used to calculate the yield of a bond, while dirty price is the actual price paid by the buyer.
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Q1. What do know about bonds matching process
Ans. 
Bonds matching process involves pairing bond issuers with investors based on their preferences and requirements.
• Bonds matching process helps bond issuers find suitable investors for their bonds

• Investors specify their preferences such as bond type, duration, yield, etc.

• The matching process uses algorithms to match bond issuers with investors based on their criteria

• This process helps streamline the bond issuance and inve
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Q2. Why do we hire you
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