Probability/strategies (math), theoretical computer science problems
Quantitative Research Intern Interview Questions
4,814 quantitative research intern interview questions shared by candidates
questions on random walks, finding S.Ds of random data sets, expected value of a uniformly distributed unit sphere, questions on multivariated regression models, etc
1) - Why do you want to work in this role? - How familiar are you with the research, testing and deploying the systematic trading strategies? 2) - Coded the gradient descent algorithm along with the quantitative researcher in a Google Colab Jupyter Notebook - Asked questions about the algorithm after completion 3) - What is an iterator - What is a generator - How to find the rolling quantile for a Python dataframe using Pandas and Numpy - Explored these questions in a code-along with the other quantitative researcher in a Google Colab Jupyter
Many details about the techniques used in the previous jobs.
A dealer has 1000 coins and 10 bags. He has to divide the coins over the ten bags so that he can make any number of coins simply by handing over a few bags. How must divide his money into the ten bags?
Tell me about yourself. What is a stock/bond? Indicators of economy.
Mainly arrays and strings, no advanced algorithm required
Same behavioral questions as your mock interviews. No following up with any question. Simply going through those questions and no comment. Technical interview has 9 questions. Choose 5 questions to answer, about stochastic calculus, programming and machine learning.
How many times on average will I have to roll a dice before it turns up a 6? And to justify my answer.
code a system to do a task
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