Write a dot product of 1000000 numbers that runs as fast as possible using SSE/AVX.
Quantitative Research Intern Interview Questions
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Write a data-processing pipeline in python using e.g. pandas and scipy.
Coding was not really leetcode-style, more just problem-solving and implementing things creatively (more enjoyable imo). Deep knowledge of data structures is definitely helpful. Math stuff was brainteasers/probability questions - definitely pretty difficult, they're more concerned with the approach/thought process than an exact solution. Data science was just testing basic ML knowledge + implementation, understanding pitfalls/tradeoffs of your data.
How would you compute the nth term of the Fibonacci sequence?
Very general questions on macroeconomics trend and behavioral questions.
Deep experiments with Options straddle and other setups DSA questions
The assessment was long, there wasn't technical questions.
nothing unexpected
The most difficult question is whether I will choose SIG if I have other offers.
Standard Probability, game theory questions.
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