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Quantitative Researcher Interview Questions
4,818 quantitative researcher interview questions shared by candidates
Basic probability (conditional; Bayes theorem; correlation; expected value of order statistics; IID sequences), statistics (linear regression, think how beta varies under changes in the data), brainteasers (inference for ordered information; e.g. five people arrive to a place, incomplete information on arrival times and order, which option is necessarily true (or false)), speed of algorithms and data structure data access (sort, indexing; how fast does a structure access data), linear algebra (matrices, matrix operations; determinants and their properties), zeroes or maximums of curves under domain constraints (also in higher dimensions), mathematical series (where does a given Taylor series converge).
A NYC temperaure dataset. Asked to use linear regression to find the most predictive model.
They told me not to publish any questions
BFT and DFT
coding challenge with three questions on Hackerrank, with one question optional
The classic Friend circle problem
If given a simulation result of 5 years and another simulation result of 10 years, how would you compare?
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.
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.
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