Everything is straightforward, portfolio-theoretic questions, no tricks / brainteasers involved. -Can you explain what a GARCH model is? -What is the "market portfolio?" -What is your reasoning for the minimum-volatility anomaly? -How would you "clean a data set?" -How would you handle an outlier? -Give X number of factors that you think are useful to model returns on a stock from Y industry. Interviewing team also may test your knowledge outside of pure data mining, e.g. an accounting question " Can you explain what is free cash flow? How would you find it?" Always have a couple of stock pitches, just in case. They like to know if you're well-read on current market events: "Ebay or Amazon? Tesla or GoPRO? etc. etc."
Quantitative Researcher Interview Questions
4,855 quantitative researcher interview questions shared by candidates
What's a functor in C++?
a dp question
what is the difference between uncorrelated and independent and give an example of two random variables that are uncorrelated but not independent.
Given a set of lines, return the count of unique words and letters. A word is defined as any sequence of one or more lower case letters and words are separated by white spaces.
Let X be the sum of N independent random variables following uniform distribution. What is the distribution of X?
A clock was dropped onto the floor and broken into 3 pieces, with each piece having an equal sum. What are the numbers on each piece?
2nd round - 1st question: Given a code snippet that aims to find the maximum element in a binary tree, fix the bug
Given any random unknown population, you draw one billion samples from it. How would you find the 99th percentile of it?
2 rounds Python coding on Hackerrank (algorithm) Machine learning algorithm Mathematics, specially calculus
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