Goldman Sachs strategic anaylst interview
However, the paper tests candidates on pre-calculus math, probability (up to and including random processes), some linear algebra and basic calculus, analytics and puzzles. There's also separate section on computer science including graph theory.
The criterion for qualification to the final interview round is that the student should do exceedingly well and at least one of math and computer science sections but not necessarily in both.
In my case, for example, being from electrical engineering background, I had very little expertise in computer science. But I did well in the math section and hence got a call for the interview.
Firms other than GS have fairly simple aptitude tests. Most companies also have a coding section in their tests. I would urge everyone to start early enough and get familiar with programming and C++ / C / Python. This is one thing that I did not do and should have done.
If you are good at math (or computer science), the test is a cakewalk.
If you are not so confident, I would suggest that you choose your strong area (math / computer science) and prepare from the start of the semester.
40 Puzzles and Problems in Probability and Mathematical Statistics and Heard on the Street are good sources for gaining confidence in probability.
the written test. There's little or no HR component to the interviews.
This holds for GS as well as most other analytics firms.
The more important part would be their written test. This is where they will filter out most students.