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Goldman Sachs Quantitative Analyst Interview Questions and Answers

Updated 9 Jun 2017

Goldman Sachs Quantitative Analyst Interview Experiences

1 interview found

I was interviewed before Jun 2016.

Interview Preparation Tips

Round: Test
Experience: the exam had 3 sections. one on probability and statistics, one on algorithms, one on computer science. it is sufficient to ace one section. keep in mind that exam is a very critical component of the selection process, not just a filtering round
Duration: 3 hours
Total Questions: 4

Round: Technical Interview
Experience: typically puzzles and brain teasers will be asked. mostly algorithms, probability based

Round: HR Interview
Experience: if you reach this round, assume you got the offer

College Name: IIT Kanpur

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Dec 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Given Python coding challenge related to string processing and second question was matrix processing using python

Round 2 - Technical 

(4 Questions)

  • Q1. Bagging boosting and its difference and uses.
  • Q2. Methods to minimize overfitting and underfitting
  • Q3. Transformer architecture
  • Q4. LLM usecase and explain how to work on it
Round 3 - Technical 

(2 Questions)

  • Q1. Given data, find out what AI project can be discovered and how to progress on implementing it.
  • Q2. Given data and usecase, which model to use to implement solution and how detailed steps.
Round 4 - Behavioral 

(2 Questions)

  • Q1. Discussed each project in my resume in detail and related questions
  • Q2. Discussed team and personal behavioural questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep your basics of data science and statistics clear. Also keep only things you worked or know in your resume.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Sep 2024. There were 5 interview rounds.

Round 1 - Coding Test 

1 python and 1 SQL coding along with ML questions mostly related to monitoring and basic ML

Round 2 - Coding Test 

1 python code and also related to ML ...the recruiter came with a dataset to solve

Round 3 - Case Study 

Guestimates, project discussions and Case Studies

Round 4 - Case Study 

Project indepth discussion and case study related Fraud Detection

Round 5 - Behavioral interview 

(1 Question)

  • Q1. Aligning own interest with team requirement
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

DSA and ML, AI, Coding question

Round 2 - One-on-one 

(1 Question)

  • Q1. Case study which was easy
Round 3 - One-on-one 

(1 Question)

  • Q1. In depth questions on ML
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Machine Learning, Metrics

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
No response

I was interviewed in May 2024.

Round 1 - Assignment 

Assignments using LLM usecase

Round 2 - Technical 

(1 Question)

  • Q1. Questions about assignments and ML topics
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Jan 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Some basic questions of excel, SQL and Python. Focused more on projects mentioned in CV
Round 2 - Case Study 

How much you rate in Python and SQL

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain about how recommendation engine work
  • Ans. 

    Recommendation engines analyze user data to suggest items based on preferences and behavior.

    • Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.

    • They can also use content-based filtering to recommend items similar to ones the user has liked in the past.

    • Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.

    • Ex...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
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
Round 2 - Technical 

(3 Questions)

  • Q1. Questions on Python datatypes, class, object, inheritance,
  • Q2. Machine learning algorithms
  • Ans. 

    Machine learning algorithms are used to train models on data to make predictions or decisions.

    • Supervised learning algorithms include linear regression, decision trees, and neural networks.

    • Unsupervised learning algorithms include clustering and dimensionality reduction.

    • Reinforcement learning algorithms involve learning through trial and error.

    • Examples of machine learning applications include image recognition, natural l

  • Answered by AI
  • Q3. Sql queries and python coding questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Related to project

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(1 Question)

  • Q1. What is Bank reconciliation?
  • Ans. 

    Bank reconciliation is the process of comparing a company's financial records with the bank's records to ensure they match.

    • Bank reconciliation helps identify discrepancies such as missing transactions or errors in recording.

    • It involves comparing the ending balance on the bank statement with the ending balance in the company's accounting records.

    • Adjustments may need to be made for outstanding checks, deposits in transit...

  • Answered by AI

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