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: Hard
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, load-balancing, algorithms, asymptotic-analysis
You are designing a distributed system for processing incoming requests. You have $n$ servers (bins) and $n$ requests (balls). Each request is assigned to a server using a load balancing strategy. Strategy 1: For each request, you randomly select one server and assign the request to it. It is known that the maximum load (number of requests assigned to any server) is $O(\frac{\log n}{\log \log n})$. Strategy 2: For each request, you randomly select two servers independently and assign the request
Practice this hard 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.