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Analyste Quantitative Junior Interview Questions

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Algorithm: given an array of numbers: 1,5,3,2,4,2,3,1,2,3,2,4. Return another array with duplicate numbers in consecutive positions and in order of their first appearance, in the example the result should be: 1,1,5,3,3,3,2,2,2,2,4,4
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Quantitative Researcher

Interviewed at Citadel

4★
Oct 31, 2018

Algorithm: given an array of numbers: 1,5,3,2,4,2,3,1,2,3,2,4. Return another array with duplicate numbers in consecutive positions and in order of their first appearance, in the example the result should be: 1,1,5,3,3,3,2,2,2,2,4,4

He first asked me how to come up with a reasonable metric to compare two methods (of doing something). He gave some hints for coming up with a reasonable metric. Then he asked me how to use this metric to determine which of the two methods is better, especially how to use a nonparametric way to do it.
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Quantitative Analyst

Interviewed at Google

4.4★
Jan 26, 2018

He first asked me how to come up with a reasonable metric to compare two methods (of doing something). He gave some hints for coming up with a reasonable metric. Then he asked me how to use this metric to determine which of the two methods is better, especially how to use a nonparametric way to do it.

Every round included typical behavioral questions (Why this position? Walk me through your resume, etc.) Technical questions related to CFA knowledge (What are the factors in Fama-French?), statistical knowledge (How do you deal with outliers in data sets?) (What issues might you have with normalizing variables and how would you address them?), and a basic programming questions (What Python libraries do you have proficiency with? How would you use them to analyze large data sets?)
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Quantitative Researcher

Interviewed at IHS Markit

3.7★
Oct 1, 2020

Every round included typical behavioral questions (Why this position? Walk me through your resume, etc.) Technical questions related to CFA knowledge (What are the factors in Fama-French?), statistical knowledge (How do you deal with outliers in data sets?) (What issues might you have with normalizing variables and how would you address them?), and a basic programming questions (What Python libraries do you have proficiency with? How would you use them to analyze large data sets?)

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