quant

Quant is a shortened term for quantitative analyst or quantitative researcher, especially in finance, where it describes professionals who apply mathematical, statistical, and computational methods to pricing, trading, and risk management. The word also refers more generally to quantitative methods or to quantity itself, and is used to describe roles, studies, or approaches that rely on numerical analysis.

In finance, quants design and implement pricing models, calibrate them to market data, and backtest strategies. They work on algorithmic and high‑frequency trading, risk measurement, portfolio construction, and derivative pricing. Common techniques include stochastic calculus, Monte Carlo simulation, time‑series analysis, regression, factor models, and machine learning. Proficiency in programming languages such as Python, C++, Matlab, R, and SQL is typical, as is strong training in probability, statistics, linear algebra, and optimization. Quants may specialize in pricing, risk management, or trading signals and often collaborate with traders, software developers, and risk teams.

The term originated as shorthand for "quantitative." In other contexts, quant can simply mean a quantity, or be used informally to indicate quantitative methods. It is distinct from concepts in physics such as quantum, though both share a root related to measurement and calculation.

Related topics include quantitative easing, quantitative investing, and algorithmic trading. Notable firms employing large numbers of quants include Renaissance Technologies, D. E. Shaw, and Jane Street.