Quant finance has shifted Wall Street from "gut feelings" to . It’s the engine behind:
You don't just solve equations on paper; you code them. Python and C++ are the industry standards for building high-speed trading algorithms and simulations. An Introduction to Quantitative Finance
Calculus, linear algebra, and especially stochastic processes (the math of "randomness"). Quant finance has shifted Wall Street from "gut feelings" to
Options, Futures, and Other Derivatives by John C. Hull is the standard introductory textbook used by almost every university and bank. An Introduction to Quantitative Finance
Value at Risk (VaR) is a statistical technique used to measure the level of financial risk within a firm or portfolio over a specific time frame.