Quantitative Analyst
comprehensive interview preparation guide for quantitative analyst roles, featuring 50 expert-curated questions and detailed answers updated for 2026. The page covers the full breadth of topics a candidate can expect in a quant interview — from core statistical concepts like Random Walk Theory, p-values, and the Central Limit Theorem, through to derivatives pricing models (Black-Scholes, Heston, binomial trees), risk management frameworks (VaR, CVaR, GARCH, Monte Carlo simulation), and portfolio theory (CAPM, Fama-French, Black-Litterman). It also addresses modern quantitative methods, including machine learning techniques like Random Forests, LASSO regression, NLP with alternative data, and reinforcement learning for trading. Questions are organised into five topic areas with difficulty ratings, making it easy for candidates to focus their preparation. The guide is hosted on the 4daywork job board and is aimed at anyone pursuing quant roles at hedge funds, investment banks, or asset management firms.