Quant Research Interview Questions - Citadel and Five Rings
Quantitative research interviews at top financial firms like Citadel and Five Rings are notoriously rigorous, testing not only your mathematical and statistical knowledge, but also your problem-solving acumen and coding skills. In this comprehensive guide, we’ll walk through several real quant research interview questions asked at Citadel, Five Rings, and similar firms. We’ll break down each question, explain the underlying concepts, and provide detailed solutions. Whether you’re preparing for your next quant interview or aiming to deepen your understanding of quantitative research, this article will give you the edge you need.
Gaussian Naive Bayes is a probabilistic classifier based on Bayes' theorem, assuming independence between features. For continuous variables, GNB assumes that the features follow a Gaussian (normal) distribution. This makes it a fast and often surprisingly robust classifier.
Logistic Regression is a discriminative model that directly estimates the probability of a class given the input features. It models the log-odds as a linear function of the input variables and applies the sigmoid function to map this to the (0,1) interval.
