Suppose you were to model this process with a hierarchical model. Describe the data generating process, what priors you'd use, and the pros and cons of this approach.
Quantitative Research Associate Interview Questions
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Some basic questions about linear algebra, statistics and python programming.
How would you model this using a hierarchical approach? What are the pros of using a hierarchical prior in this case?
Describe heapsort, quicksort, BFS, DFS
Why quant finance, why Citadel
1. Valuing the NCAA Billion dollar bracket challenge 2. Statistical testing of olympic race results. 3. game theory question about guessing the mean of everyone's guesses.
Signed an NDA, so can’t share details, but questions were a mix of programming and data wrangling questions (whiteboard), behavioral questions, and scenario questions.
Explain in detail a market impact model
No difficult questions
2 puzzle questions. One about linked lists and C++ implementation. Another question on probability/statistics.
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