Junior Quantitative Analyst Data Analyst Interview Questions

10,227 junior quantitative analyst data analyst interview questions shared by candidates

If a hurricane were to hit Florida in the next week, what industries would be affected and how would that affected associated stock prices? What is the bias-variance tradeoff? If one is overfitting their data, will the bias be high, or low? Will the variance be high, or low? (Don't remember the exact question word-for-word, but I was essentially asked on how to perform the KNN algorithm given some input data) If two people pick a random real number from 0 to 1 (inclusive), what is the probability that the first person will pick a higher number than the second? Describe the pdf of the difference between the two numbers selected. What is the expected difference between the two numbers? (iirc there were a few mental math questions thrown in as well)
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Quantitative Trader Intern

Interviewed at Wolverine Trading

4.7
Mar 13, 2022

If a hurricane were to hit Florida in the next week, what industries would be affected and how would that affected associated stock prices? What is the bias-variance tradeoff? If one is overfitting their data, will the bias be high, or low? Will the variance be high, or low? (Don't remember the exact question word-for-word, but I was essentially asked on how to perform the KNN algorithm given some input data) If two people pick a random real number from 0 to 1 (inclusive), what is the probability that the first person will pick a higher number than the second? Describe the pdf of the difference between the two numbers selected. What is the expected difference between the two numbers? (iirc there were a few mental math questions thrown in as well)

1) What is cointegration? 2) What is a view in a black-litterman model? 3) What are the problems of using a mean variance optimization? 4) What are the problems that one comes across when constructing a covariance matrix? 5) Which is more important in a factor regression - beta or R square?
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Quantitative Analyst

Interviewed at Loomis Sayles & Company

2.9
Oct 20, 2014

1) What is cointegration? 2) What is a view in a black-litterman model? 3) What are the problems of using a mean variance optimization? 4) What are the problems that one comes across when constructing a covariance matrix? 5) Which is more important in a factor regression - beta or R square?

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