How to deal with missingness in data. How to do feature selection. How todeal with imbalanced data. Explain random forest.
Quantitative Research Associate Interview Questions
4,814 quantitative research associate interview questions shared by candidates
Explain how you communicated a project or work to a nontechnical audience. Tell us a time when you made a mistake, how you resolved it, and what you learned from it. What are the assumptions of logistic regression? What is a black-box ML model?
The type of questions are very vary. They will ask you to integrate an equation, to do some basic calculation, they will also ask you about matrix manipulation, some basic concept, such as trace of a matrix or something else. They will also ask statistics questions, such as brownian motion, etc. I also remember the last question they asked me, "Why fast Fourier Transformation fast?" If you are math major or physics major, I think you will be able to answer most of the questions with some preparation.
questions are quite standard, but cover a lot materials.
neanryl none
What do you deal with conflict
Q: How do you build a model?
How to check the accuracy of risk model
First round: "Why is the logistic regression model considered linear?" Online Assessement: The programming questions consisted of multiple choice choose the R code chunk that produces this given data result. No DSA leetcode style questions were asked. Final round: "Can you tell me about a time when you had to communicate something complex to layman stakeholders?" "Can you tell me about a time when you dealt with a conflict in a team?" Questions about decisions made during feature selection and about handling class imbalance in the models used.
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