What is Quantitative Finance?

Quantitative finance, also known as quant finance, is the intersection of mathematics, statistics, and computer science applied to financial markets.

It’s the field behind algorithmic trading, financial modeling, portfolio optimization, and risk management. Instead of relying on gut feeling or news headlines, quants use data and mathematical models to make informed, systematic decisions.

Why Does It Matter?

Markets are complex, and human intuition can only go so far. Quantitative approaches bring structure, consistency, and speed to the table. Whether it's predicting asset prices, identifying patterns, or managing risk. Quants build the models that power many of the tools and strategies used on Wall Street and beyond.

Who Works in Quant Finance?

People in this space typically have backgrounds in:

- Math, physics, or engineering

- Computer science or software development

- Economics or finance (with a technical angle)

They might work at hedge funds, banks, trading firms, or even build their own strategies and tools.

Why I’m Writing About This

This blog will explore what it’s like to work in quant finance, build trading tools, and navigate the intersection of code and capital. Whether you're just curious or want to break into the field, I’ll be sharing insights, projects, and experiments along the way.