The questions were mostly about my previous experiences in other companies and during my studies. The idea was to assess my problem solving and research abilities, as well as my technical skills. The other questions were "fit" question, to get to know me and make sure I would integrate well with my colleagues.
Quantitative Research Intern Interview Questions
3,500 quantitative research intern interview questions shared by candidates
- brainteaser - leetcode - Machine Learning - Project
How you optimise the Fibonacci computation ( python algo)
HR questions: Introduce yourself, Why join BNP Paribas? What do you know about BNP Paribas, salary expectations, willing to work on bank holidays? Technical questions: Explain something about your work(a problem that you solved etc). A math problem involving numbers, a related question regarding its implementation. Two programming questions: coin change problem and max sum of array problem.
Where do you see yourself in 5 years?
Q: Expected number of cards required to get an Ace, without replacement. Q: A dice is thrown 3 times, probability of getting the numbers in decreasing order.
Linear Regression, Boosting, Decision trees, basic dice throwing problems
Un portfeuille contient une option et une quantité de sout jacent Combient vaut cette quantité pour que le portfeuille a rendement risque neutre r ?
Green book level probability, brainteasers and coding
Code Fibonacci explain different ways to do it, and each way's complexity
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