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Goldman Sachs Analyst Interview Questions, Process, and Tips for Freshers
Updated
4 Dec 2023
Top Goldman Sachs Analyst Interview Questions and Answers for Freshers
- Q1. Good old standard problem: Playing number game with your friend to select any of the number between 1 to 3. Whoever reaches 20 first, wins. You have to tell the strategy ...read more
- Q2. Given a tank with liquid, and there are flows in and out, inflow is U and outflow is Kx, where x is current height of liquid in tank, all needed quantities given, what ar ...read more
- Q3. Maximum Subarray Sum You are given an array/list ARR consisting of N integers. Your task is to find the maximum possible sum of a non-empty subarray(contagious) of this a ...read more
20 Goldman Sachs Analyst Interview Experiences for Freshers
81 questions found
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Anonymous
Interview experience
Good
Difficulty level
-
Duration
-
Result
-
3 Interview Rounds
1
Resume Shortlist Round
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
2
Coding Test Round
On their BlueJ platform with 2 questions asked with optimizations needed
3
One-on-one Round (1 Question)
- Q1. Explain what is Binary Search Tree View Answers (1)
Skills evaluated in this interview
Interview experience
Average
Difficulty level
Moderate
Duration
2-4 weeks
Result
No response
I applied via Company Website and was interviewed before Jun 2022.
5 Interview Rounds
1
Resume Shortlist Round
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
2
Aptitude Test Round
Aptitude question related to trigonometry and logical reasoning
3
Coding Test Round
2 coding question based on dp and binary search
4
Technical Round (2 Questions)
- Q1. Maximum sum subarray Add Answer
- Q2. Sliding window maximum Add Answer
5
HR Round (1 Question)
- Q1. Basic hr questions Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Prepares dsa as much as you can
Get interview-ready with top interview questions
Sagar Khadka
I applied via Recruitment Consultant and was interviewed in Dec 2021.
4 Interview Rounds
Interview Questions
- Q1. What is Asset Management
View Answers (1)
- Q2. What is private equity
View Answers (1)
- Q3. What is custodian banking
View Answers (1)
- Q4. Difference between hedge funds and private equity
View Answers (1)
- Q5. Situational based questions
Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Just brush up on core finance topics if you are fresher.
And importantly don't ever lie, they know everything.
Be yourself.
And importantly don't ever lie, they know everything.
Be yourself.
What people are saying about Goldman Sachs
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a technologist
1w
Seeking Career Advise
Hi everyone , I am currently getting 3.35 LPA + allowances in my current role. I am a technologist and did my B.Tech and diploma in mechanical, respectively, and 2 years and 6 months of experience.
I am willing to progress in this though competition, but at the age of 28 years, I am feeling like I am very much far behind on the race.
I like to explore ways to boost up my career. Can you all give me some advice?
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Interview experience
Excellent
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected
I applied via campus placement at National Institute of Technology (NIT), Calicut and was interviewed before Dec 2022.
6 Interview Rounds
1
Resume Shortlist Round
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
2
Coding Test Round
There were 3 coding questions with medium difficulty level.
3
Aptitude Test Round
Good knowledge in logical reasoning and mathematics (especially probability) is required.
4
Coding Test Round
2 array based questions
5
Coding Test Round
1 array and 1 linked list based questions were asked
6
HR Round (1 Question)
- Q1. Logical reasoning and some general interview questions were asked. Add Answer
Interview Preparation Tips
Topics to prepare for Goldman Sachs Analyst interview:
- Data Structures
- Java
- Mathematics
- React
- Spring Boot
Goldman Sachs interview questions for designations
I applied via Company Website and was interviewed in Jan 2021.
4 Interview Rounds
Interview Questions
- Q1. Searching and Sorting
Add Answer
- Q2. If You have an infinite array then how many ways to sort it and also tell the complexities
View Answers (1)
- Q3. About projects
Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - First of all charge your laptop. In my case there is some electricity issue , my laptop is not fully charged and interviewer taking interview one by one to every student . So I m very scared at that time , But by god I have my brother laptop so I do not face any problem at the time of interview .
Skills evaluated in this interview
CodingNinjas
I was interviewed before Oct 2020.
1 Interview Round
1
Coding Test Round (3 Questions)
Round duration - 90 minutes
Round difficulty - Medium
The round was divided into 5 parts.
1st part - 2 easy coding questions
2nd part - 7 MCQs
3rd part - 8 MCQs
4th part - 1 hard coding question
5th part - 2 ethical based questions
- Q1. LRU Cache Implementation Design and implement a data structure for Least Recently Used (LRU) cache to support the following operations: 1. get(key) - Return the...read more View Answers (2)
- Q2. Maximum Subarray Sum You are given an array/list ARR consisting of N integers. Your task is to find the maximum possible sum of a non-empty subarray(contagious)...read more View Answers (3)
- Q3. Shortest Path in a Binary Matrix You have been given a binary matrix of size 'N' * 'M' where each element is either 0 or 1. You are also given a...read more View Answers (2)
Interview Preparation Tips
Professional and academic backgroundI applied for the job as Analyst in HyderabadEligibility criteriaNo criteriaGoldman Sachs interview preparation:Topics to prepare for the interview - Data Structures, Pointers, OOPS, Algorithms, Dynamic Programming, Puzzles, Tree Algorithms, Competetive ProgrammingTime required to prepare for the interview - 3 monthsInterview preparation tips for other job seekers
Tip 1 : For Goldman Sachs, puzzles are a must.
Tip 2 : Competitive Programming is also necessary for most job interviews.
Tip 3 : Practise mock interviews among your friends.
Tip 1 : Make your resume crisp and clear.
Tip 2 : Have at least two projects on your resume.
Tip 3 : You can take the help of someone to verify any grammatical mistakes and the formation of sentences.
Skills evaluated in this interview
Analyst Jobs at Goldman Sachs
I applied via campus placement at NMAM Institute of Technology, Mangalore and was interviewed before Jul 2021.
2 Interview Rounds
1
Aptitude Test Round
It was difficult aptitude test. One need to be well versed in aptitude and coding ( any programming language).
2
Technical Round (1 Question)
- Q1. I don't know i didn't pass aptitude test Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Prepare well as the test is hard to crack.
TapIn
Piyush Singla
I was interviewed in Dec 2016.
4 Interview Rounds
Interview Preparation Tips
Round: Resume Shortlist
Experience: For CSE and EE students , CPI was not at all seem to be a criteria for shortlisting and almost all who have a decent profile got shortlisted for the test. However, for other department students they shortlisted above 9 CPI students.
Round: Test
Experience: It was a 2 hour test. It consisted of 3 sections-Quant , Machine Learning and Computer Science . Each section had 10 questions and 45 minutes were allotted for each section.
Being from non-CSE background I attempted only 2 sections ie. Quant and Machine Learning. Machine Learning section was fairly easy this time and almost all questions were standard. If someone has done an introductory course on Machine Learning and basic stats , this section was a cake walk for him. However , attempting quant section required some preparation of solving probability puzzles (computing expectations etc.) ,basic linear algebra and geometry base questions.
Duration: 2 hours
Round: Technical Interview
Experience: I had 2 rounds of interview. Both were technical ones.
In the first interview , they asked some probability puzzles (from 50 challenging problems in probability book) . Since I had completed that book before , I was able to solve them . Then they asked 1-2 algorithm based questions like formulate an efficient algorithm for solving a particular problem. I was not able to solve them completely but tried to give them the overview of y approach. The interviewer didn't seem to be satisfied though. It lasted for around 20-25 minutes.He told me to wait outside . To my surprise, I was called for the 2nd round.
The second went better than the first round. They again asked questions on computing probability , expectations , constructing a Markov Chain for a a given problem etc. Since I had done 1 course in Fiance also , he asked me questions from it also which were quite easy. Then he began asking algorithms and asked me to explain a sorting algorithm and I chose Quick Sort. While explaining it , I got struck at one point but the interviewer was helping me by giving hints and I was able to explain it fully. The second round was quite exhaustive as it went on for around 45-60 minutes.
Skills: Problem Solving Abilties, Mathematical Aptitude, Algorithmic Approach To Problem Solving, Machine Learning, Statistical Method Basics
College Name: IIT Kanpur
Experience: For CSE and EE students , CPI was not at all seem to be a criteria for shortlisting and almost all who have a decent profile got shortlisted for the test. However, for other department students they shortlisted above 9 CPI students.
Round: Test
Experience: It was a 2 hour test. It consisted of 3 sections-Quant , Machine Learning and Computer Science . Each section had 10 questions and 45 minutes were allotted for each section.
Being from non-CSE background I attempted only 2 sections ie. Quant and Machine Learning. Machine Learning section was fairly easy this time and almost all questions were standard. If someone has done an introductory course on Machine Learning and basic stats , this section was a cake walk for him. However , attempting quant section required some preparation of solving probability puzzles (computing expectations etc.) ,basic linear algebra and geometry base questions.
Duration: 2 hours
Round: Technical Interview
Experience: I had 2 rounds of interview. Both were technical ones.
In the first interview , they asked some probability puzzles (from 50 challenging problems in probability book) . Since I had completed that book before , I was able to solve them . Then they asked 1-2 algorithm based questions like formulate an efficient algorithm for solving a particular problem. I was not able to solve them completely but tried to give them the overview of y approach. The interviewer didn't seem to be satisfied though. It lasted for around 20-25 minutes.He told me to wait outside . To my surprise, I was called for the 2nd round.
The second went better than the first round. They again asked questions on computing probability , expectations , constructing a Markov Chain for a a given problem etc. Since I had done 1 course in Fiance also , he asked me questions from it also which were quite easy. Then he began asking algorithms and asked me to explain a sorting algorithm and I chose Quick Sort. While explaining it , I got struck at one point but the interviewer was helping me by giving hints and I was able to explain it fully. The second round was quite exhaustive as it went on for around 45-60 minutes.
Skills: Problem Solving Abilties, Mathematical Aptitude, Algorithmic Approach To Problem Solving, Machine Learning, Statistical Method Basics
College Name: IIT Kanpur
I was interviewed in Dec 2016.
6 Interview Rounds
Interview Questions
- Q1. Given coordinates of some points, find a figure that encompasses all of the points. The figure should have the least possible area and be formed by joining poin...read more
View Answers (1)
- Q2. Good old standard problem: Playing number game with your friend to select any of the number between 1 to 3. Whoever reaches 20 first, wins. You have to tell the...read more
View Answers (1)
- Q3. 2nd interviewer asked me a question on calculating variance, about gaussian distribution and something about my internship.
Add Answer
- Q4. 3rd were these really cool dudes who started of with a matrix problem where each element was sum of row^2 and e^column. Now I had to prove something about equal...read more
Add Answer
- Q5. The other one asked me a puzzle about two carts placed on a track with sensor below them. You can start cart with specific speed but afterwards you can control ...read more
Add Answer
- Q6. 4th interviewers were really senior. They asked me about general stuff like my interns and interests. Then they asked me about Yelp dataset challenge and NLP fe...read more
Add Answer
- Q7. They also asked some basic questions about libraries featured in Scikit (Python Library on Machine Learning Techniques)
Add Answer
- Q8. Finally they asked me about flash crash in stock market related to another project in intern.
Add Answer
- Q9. Row sorted and column sorted matrix problem of finding an element.
View Answers (1)
Interview Preparation Tips
Round: Resume Shortlist
Experience: They shortlist around 300 resume from whole batch for next round.
Tips: Basically add your projects related to Machine Learning and coursework related to Math. GS is one of the companies which reviews resume carefully (At least I think so :P), reason being me selected even after a low CPI. Around 250 to 300 students were shortlisted from resume for second round.
GS is one of the rarest firms that will go through your resume thoroughly. Most important part is that GS is a firm you want to go for if you have a modest CPI and are genuinely interested in global markets.
They hire for Strats and Quants division. So highlight projects related to Natural Language Processing, Artificial Intelligence and Machine Learning Techniques. Mathematical coursework and internship in related field could be elaborated too. Even students with no internship experience whatsoever were selected due to their background in Machine Learning related coursework.
I have a little or no idea about programming division as it revolves around networking and related projects.
Round: Test
Experience: They started hosting test online on hackerrank. It includes three sections with equal weightage to each of them. You have 45 minutes for individual sections. There are three type of questions asked - MCQ (+10, -3), Fill in the blanks (Numbers upto 2 decimal places; +10, -0) and 2 coding questions in programming section (+20, -0).
Programming - 2 coding questions. Questions about networking, cache and DSA (postfix and prefix expression from stack related algorithms).
Quant - Cattle grazing the circular field tied from a pole at the corner of a rectangular shade with a rope. Some about practical probability problem of die throws. Other about matrices and determinant. Theoretical questions in probability covers a major portion in form of expected value, correlation and covariance calculations. This section had some integer type questions.
Data Sciences - MLT theory should be a stronghold. Particularly confusing theoretical questions. Some of them had 4 statements and then 4 options asking correct statements so you have to be good at multiple topics. Typical question include possible solution to account for missing input data and regularization among others.
Tips: You have to be good at any two of the sections. Quant is quite competitive as the questions are easier and CSE guys can attempt these too from mathematical coursework on prob and stats. Typically whole batch is rooting for this profile because of lesser chance in CS related profile.
A little brushing up old DS notes won't hurt anyone. Specially tree, graphs (algorithms like Bellman Ford, Djikstra and Prim's algo), complexity of standard algorithms and postfix, prefix expression derivation will help a long way. Coding questions demand efficient solution, otherwise you won't be able to clear all test cases because of TLE.
For quant, Prob Stats and Linear Algebra course review is highly recommended. A little aptitude (CAT related although a lot higher standard than that) will help too.
In data sciences, ML lectures will help a lot as most part is theoretical which can be solved if you have your concepts strong. Gaussian distribution, Regularizer, PCA are some of the topics which were asked about.
Duration: 2 hours 15 minutes
Round: Technical Interview
Experience: At first I couldn
Experience: They shortlist around 300 resume from whole batch for next round.
Tips: Basically add your projects related to Machine Learning and coursework related to Math. GS is one of the companies which reviews resume carefully (At least I think so :P), reason being me selected even after a low CPI. Around 250 to 300 students were shortlisted from resume for second round.
GS is one of the rarest firms that will go through your resume thoroughly. Most important part is that GS is a firm you want to go for if you have a modest CPI and are genuinely interested in global markets.
They hire for Strats and Quants division. So highlight projects related to Natural Language Processing, Artificial Intelligence and Machine Learning Techniques. Mathematical coursework and internship in related field could be elaborated too. Even students with no internship experience whatsoever were selected due to their background in Machine Learning related coursework.
I have a little or no idea about programming division as it revolves around networking and related projects.
Round: Test
Experience: They started hosting test online on hackerrank. It includes three sections with equal weightage to each of them. You have 45 minutes for individual sections. There are three type of questions asked - MCQ (+10, -3), Fill in the blanks (Numbers upto 2 decimal places; +10, -0) and 2 coding questions in programming section (+20, -0).
Programming - 2 coding questions. Questions about networking, cache and DSA (postfix and prefix expression from stack related algorithms).
Quant - Cattle grazing the circular field tied from a pole at the corner of a rectangular shade with a rope. Some about practical probability problem of die throws. Other about matrices and determinant. Theoretical questions in probability covers a major portion in form of expected value, correlation and covariance calculations. This section had some integer type questions.
Data Sciences - MLT theory should be a stronghold. Particularly confusing theoretical questions. Some of them had 4 statements and then 4 options asking correct statements so you have to be good at multiple topics. Typical question include possible solution to account for missing input data and regularization among others.
Tips: You have to be good at any two of the sections. Quant is quite competitive as the questions are easier and CSE guys can attempt these too from mathematical coursework on prob and stats. Typically whole batch is rooting for this profile because of lesser chance in CS related profile.
A little brushing up old DS notes won't hurt anyone. Specially tree, graphs (algorithms like Bellman Ford, Djikstra and Prim's algo), complexity of standard algorithms and postfix, prefix expression derivation will help a long way. Coding questions demand efficient solution, otherwise you won't be able to clear all test cases because of TLE.
For quant, Prob Stats and Linear Algebra course review is highly recommended. A little aptitude (CAT related although a lot higher standard than that) will help too.
In data sciences, ML lectures will help a lot as most part is theoretical which can be solved if you have your concepts strong. Gaussian distribution, Regularizer, PCA are some of the topics which were asked about.
Duration: 2 hours 15 minutes
Round: Technical Interview
Experience: At first I couldn
Skills evaluated in this interview
Goldman Sachs Interview FAQs
How many rounds are there in Goldman Sachs Analyst interview for freshers?
Goldman Sachs interview process for freshers usually has 4 rounds. The most common rounds in the Goldman Sachs interview process for freshers are Coding Test, Aptitude Test and Resume Shortlist.
How to prepare for Goldman Sachs Analyst interview for freshers?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Goldman Sachs. The most common topics and skills that interviewers at Goldman Sachs expect are Investment Management, Software Asset Management, Investment Banking, Risk Management and Financial Services.
What are the top questions asked in Goldman Sachs Analyst interview for freshers?
Some of the top questions asked at the Goldman Sachs Analyst interview for freshers -
How long is the Goldman Sachs Analyst interview process?
The duration of Goldman Sachs Analyst interview process can vary, but typically it takes about less than 2 weeks to complete.
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Top Skills for Goldman Sachs Analyst
People are getting interviews through
based on 7 Goldman Sachs interviews
Campus Placement
Company Website
Recruitment Consultant
57%
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14%
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Confidence
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Moderate Confidence means the data is based on a sufficient number of responses received from the candidates
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