A “quant,” short for quantitative analyst, is a professional who applies mathematical, statistical, and computational methods to analyze financial markets and develop models for trading, risk management, and investment strategies. Quants are essential in the field of quantitative finance, where they create complex algorithms and pricing models for financial instruments like derivatives, bonds, and equities. Their work often involves identifying market inefficiencies, optimizing portfolios, and managing risk, using tools from fields such as machine learning, econometrics, and stochastic calculus. Many quants hold advanced degrees in mathematics, physics, computer science, or engineering.

In financial institutions like hedge funds, investment banks, and proprietary trading firms, quants play a pivotal role in the development of algorithmic trading strategies, which are designed to execute trades based on patterns in market data. They also support decision-making processes by providing insights based on data analysis and simulations. As the financial industry becomes more data-driven, the role of quants continues to expand, with their expertise shaping everything from high-frequency trading to risk assessment in complex financial environments.