Orthogonality theory in statistics and some conbination probability problems.
Quantitative Researcher Interview Questions
2,685 quantitative researcher interview questions shared by candidates
Dimension of null space of linear transformation
some covariance matrix estimation machine learning questions
mostly open ended Machine Learning questions + some simple math programming questions
The interview process was quite casual. Did not face any particular difficult questions
Signed a non disclosure agreement.
algorithm complexity
What is correlation? What is covariance? Made a graph that the correlation is equal to 1 and -1.
Questions involved familiarity with Linear Regression (it helps to be topically familiar with either iterative LR, PCA, or orthogonal matching pursuit), Minimal Mean Squared Error, probability theory (binomial random variables, gaussian distributions, markov chains, properties of expected value/variance, hypothesis testing), and basic coding (a very trivial programming question when compared to SWE interviews).
Ridge regularization.
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