The problems in the coding interview are not difficult for someone with a programming background. The interviewer asked me to evaluate the time-complexity and space-complexity of the algorithm and optimize it.
Quantitative Research Analyst Interview Questions
3,500 quantitative research analyst interview questions shared by candidates
Signed an NDA, but most questions were very open ended and required “practical solutions”, although some coding problems and puzzles/brainteasers obviously had right/wrong answers. My feeling is that they really try to make sure you’re a cultural fit to TS collaborative culture.
Questions about ridge regression, practical/design aspects of supervised learning problems, some transformations of random variables, etc.
How do you predict the number of available bikes in a citibike station?
calculate the sample size for a t test to be significant, given sample mean
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Standard ball probability questions, basic coding, a calculus question, some basic linear algebra, some ML, a data question about identifying data that is uncorrelated but not independent.
Online coding test. Probability questions.
What computer language do you use?
Do you have any experience in applying any of the ML models with real life data?
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