Goldman Sachs Analyst interview
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.
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.
- Problem Solving Abilties
- Mathematical Aptitude
- Algorithmic Approach To Problem Solving
- Machine Learning
- Statistical Method Basics