Brain teasers. Discuss a data project about predicting house prices. Need a lot of feature engineering, feature collection, and model knowledge. Open-ended question.
Quantitative Research Internship Interview Questions
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What is the angle between the minute hand and the hour hand at 12:15?
Be prepared to answer questions on your CV
L1 and L2 regularization
mostly open ended Machine Learning questions + some simple math programming questions
Signed a non disclosure agreement.
Linear regression, Two envelop problem.
What is the time complexity of QR, and what to do if n is too big?
Q: How do you evaluate the stock trends?
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).
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