1,000+ quant interview questions for Jane Street, Citadel, Two Sigma, DE Shaw, and other top quantitative finance firms.
Statistical analysis and quantitative modeling problems
Trading MCQs, probability brainteasers, and market scenarios
Practice quant interview questions on MyntBit - the all-in-one quant learning platform. Free questions available for C++ coding, Python problems, probability brainteasers, and trading MCQs.
Difficulty: Medium
Category: Probability & Statistics
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: probability, entropy, information-theory, logarithm, mental-math
A fair six-sided die is rolled. Each face has an equal probability of landing face up. Calculate the Shannon entropy of the outcome, expressed in bits. The Shannon entropy $H(X)$ is defined as: $H(X) = - \sum p_i \log_2 p_i$, where $p_i$ is the probability of outcome $i$.
Practice this medium trader interview question on Myntbit - the all-in-one quant learning platform with 1000+ quant interview questions for Jane Street, Citadel, Two Sigma, and other top quantitative finance firms.