KNOWLEDGE
BASE.

The gold standard for probability theory. Intensive lectures covering conditional probability, expectation, and distributions.

Remarkable puzzles that appear frequently in quant interviews. Essential for building intuition.

Quantitative questions from Wall Street job interviews — logic, probability, finance, and statistics. A staple for quant interview prep.

The famous "Green Book". Covers brainteasers, calculus, linear algebra, probability, and stochastic processes. One of the most recommended quant interview books.

A massive repository of mathematical puzzles, proofs, and interactive demonstrations. Great for deepening mathematical intuition.

A great starting point for understanding basic statistical concepts and data analysis.

Comprehensive coverage of probability, statistics, and regression for risk management.

Advanced mathematical methods applied to financial models. Covers SDEs, PDEs, and numerical methods. Recommended for final-year students.

Learn the mathematical modeling of interest rates and the pricing of interest rate derivatives.

The best resource for Indian market fundamentals. Focus on modules: Introduction, Technical, and Fundamental Analysis.

Known as the 'Bible for Derivatives'. Essential reading for anyone serious about quant finance.

Practice platform with real quant interview questions from top firms. Covers probability, statistics, and mental math in an interview setting.

Deep dive into various financial instruments and the markets where they trade.

Learn how to value financial instruments and model the risks associated with them.

Comprehensive guide to evaluating a security by measuring its intrinsic value.

Provides a developer's perspective on quantitative finance, bridging the gap between theory and execution.

The most famous ML course. Theory-intensive and foundational for all further learning.

A structured approach to data science and analytics. Focus on solving assignments in Jupyter notebooks.

Learn the art and science of selecting and transforming raw data into features that better represent the underlying problem.

Overview of bagging, boosting, and stacking techniques to improve model performance.

The definitive free online tutorial for learning modern C++. Covers everything from fundamentals to advanced topics like templates, RAII, and move semantics.

Fast-paced overview of Python syntax. No need for a full course if you already know another language.

Practical implementation of trading strategies and financial libraries in Python.

The standard platform for practicing Data Structures and Algorithms questions. Essential for all software roles.

Company-specific coding problems and interview preparation paths.

In-depth tutorials on complex algorithms and data structures from the best competitive programmers.

A comprehensive and readable introduction to OS fundamentals: virtualization, concurrency, and persistence.

Bridges the gap between hardware and software. Essential for understanding low-level computer behavior.

Learn how to design scalable and reliable large-scale distributed systems.

Deep dive into modern computer architecture from one of the world's leading technical universities.

Essential series covering C++ fundamentals, from syntax to modern best practices.

The go-to speed arithmetic trainer used by traders and quants. Practice addition, subtraction, multiplication and division under time pressure. Aim for 60+ in 2 minutes.

A gamified mental math platform that makes speed arithmetic training fun and competitive. Great for building reflexes before quant interviews.

Collection of shortcuts and techniques for performing mental arithmetic quickly and accurately.

Hand-picked probability and logic puzzles frequently asked in top quant firm interviews.

Detailed list of brainteasers curated by company and role.

A curated collection of classic and modern brainteasers — logic, math, and general reasoning.

Challenging quantitative and logic-based riddles for interview prep.

High-level mathematical puzzles from IBM's research division. Published monthly.

A strategic guide on how to break into the top-tier quantitative trading industry.

Ideas and implementations for your first projects in algorithmic trading.

Comprehensive overview of the skills and path required for algorithmic trading.