500+ 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: Easy
Category: data_manipulation
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: data-manipulation, factor-construction, z-score, winsorisation, numpy
Cross-sectional z-scoring is a standard technique for normalizing equity factor data, such as book-to-market ratios. To mitigate the impact of extreme outliers, quant researchers often apply winsorisation before standardizing the data. This process ensures a more robust factor distribution for use in downstream alpha models. Task Implement the function solution(bm_ratios: listfloat, winsorize: bool = True) -> listfloat to calculate the cross-sectional z-score of book-to-market ratios. If winsor
Practice this easy researcher 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.