Quant
Books

The first and original book of quantitative questions from finance job interviews. Painstakingly revised over 19 years and 15 editions, shaped by feedback from hundreds of readers.

300 questions from actual City and Wall Street interviews, each with a full solution, discussion of what the interviewer seeks, and possible follow-ups. Covers option pricing, probability, mathematics, numerical algorithms, and C++.

Over 150 questions covering the core body of knowledge — C++ and data structures, finance brainteasers, stochastic calculus — all with answers included.

Gayle Laakmann McDowell's go-to resource for technical interviews. Real-world examples and effective strategies for the coding challenges commonly encountered at top tech firms.

The latest revision includes a chapter on simulation (MCMC and Bootstrap), coverage of residual analysis in linear models, and many examples using real data.

David Ruppert's guide bridges statistics and finance. Rich in practical insights, it connects theory to financial application — ideal for those delving into financial engineering.

Steven Shreve's two-part series unravels complex stochastic calculus concepts with clarity and depth, enabling readers to navigate financial models with confidence.

A self-contained textbook bridging mathematical and ML texts. Covers linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability, and statistics.

By Bjarne Stroustrup, the creator of C++. A concise, self-contained guide covering most major language features through C++17 — because most quant shops still require it.

Hull's comprehensive treatment of derivatives — options and futures with practical examples. The standard reference for anyone entering derivatives trading or risk.

Salih N. Neftci's lucid entry into financial derivatives mathematics. Navigates from basics to intricate pricing models, combining theory and application.

Mark S. Joshi's indispensable resource. Wide coverage of quantitative methods with a practical approach — invaluable for understanding and applying mathematical finance.

Simon Benninga's comprehensive guide to financial modeling — from valuation to risk assessment. Real-world examples make it essential for honing practical modeling skills.

Captures the essence of the field, unraveling intricate concepts with real-world relevance. A recommended read for anyone seeking a comprehensive introduction to quant finance.