Trading simulation group games, fast paced simple arithmetic test, group maths questions, HR style group interview. One curveball was "Who would you recommend in this room for the position, other than yourself?"
Quantitative Research Intern Interview Questions
4,853 quantitative research intern interview questions shared by candidates
1 pandas / data manipulation question, 1 leetcode / algorithms style question, 1 linear regression question
Projects in current organisation SQL Testing Basics of Automation Tools API Testing J-Meter
how to price home index
Would you call ARIMA an explainable model?
What is beta in a regression? How do we compute its confidence interval?
Brain teaser 1: You have 100 coins, and one of them is counterfeit. It weighs slightly more than the other coins. You have a balance scale that you can use to weigh two groups of coins at a time. How can you find the counterfeit coin in three weighings or fewer? Brain teaser 2: You are standing on a point on the Earth. You walk 100 miles south, then 100 miles east, and then 100 miles north. You end up back where you started. How is this possible? Brain teaser 3: A man has a fox, a goose, and a bag of corn. He needs to get all three of them across a river, but his boat can only carry one of them at a time. He cannot leave the fox and the goose alone together, or the fox will eat the goose. He cannot leave the goose and the corn alone together, or the goose will eat the corn. How can he get all three of them across the river? These brain teasers are designed to test your problem-solving skills and your ability to think outside the box. If you can solve them, you'll be well on your way to becoming a successful quant researcher.
"Tell me about yourself? Tell me about your work experience? Or about your education and how all of it can pertain to this role?" Then the last few questions were for you to rank your proficiencies on certain statistical methods and languages.
Rank proficiencies in statistical methods and languages. MATLAB, R, Stata, SAS, Python.
classical 1-d random walk problem
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