Curated collection of the best books, courses, and tools for aspiring quant developers, researchers, and traders.
15+
Essential Books
10+
Online Courses
8+
Essential Tools
200+
Practice Problems
by Xinfeng Zhou
The gold standard for quant interview prep. Covers probability, options, and brain teasers.
by Timothy Crack
Classic interview prep book with probability puzzles and estimation questions.
by Frederick Mosteller
Excellent for building intuition in probability through classic puzzles.
by John Hull
The bible of derivatives. Required reading for any quant role involving options.
by Nassim Taleb
Practical guide to managing option portfolios and understanding Greeks.
by Sheldon Natenberg
Comprehensive guide to volatility trading and option strategies.
by Steven Shreve
Standard graduate-level introduction to stochastic calculus for finance.
by Taylor & Karlin
Solid foundation in stochastic processes and Markov chains.
by Stanley Lippman
Comprehensive C++ guide. Essential for quant developer roles.
by Scott Meyers
Master C++11/14 features used in low-latency trading systems.
by Yves Hilpisch
Practical Python for quant research and algorithmic trading.
MIT OCW
Free course covering discrete math, probability, and proofs.
Coursera
Columbia University's MFE foundation courses online.
QuantConnect
Hands-on platform for building and backtesting trading strategies.
Brilliant
Interactive courses for building mathematical intuition.
Essential stack for quant research and data analysis.
Industry standard for low-latency trading systems.
Interactive environment for prototyping strategies.
Version control and Unix environment are table stakes.
The best way to prepare for quant interviews is deliberate practice. MyntBit offers 200+ curated problems covering probability, coding, options, and market-making.
Reading is great, but practice is essential. Start solving real quant interview problems today.