What is Quantitative finance :

It is a field of applied mathematics concerned and dealing with the financial markets.

What they do : Design and implementation of mathematical models that are used for pricing assets including derivative products, assessing risk, trading, and predicting market moves.

Where it is Used : you’ll see its applications in High frequency trading, algorithmic trading, and quantitative investing in the financial markets.

Who consumes it :  High Frequency trading – HFT Firms, Proprietary Trading Firms, Asset managers, commercial banks, investment banks, hedge funds, and insurance agencies

Simplifying things for those who are new !

How do they do it :

Mathematical Finance, Financial Engineering, & Computational Finance are the applications of quantitative finance

  1. Mathematical Finance Develop Analytical and Statistical Models
  2. Computational Finance Find Numerical Solutions for Analytical and statistical models developed in Mathematical Finance.
  3. Financial Engineering uses the applications developed by Mathematical finance and solved numerically by using computational finance to solve problems in finance

financial engineering consists of converting financial theories into practical applications in the financial world.

What is Financial Engineering :

It is an outcome of quantitative analysis developed by quantitative analysts.

What they do : They design algorithmic or Artificial Intelligence (AI) trading programs in the  Financial Markets

A multidisciplinary and broad field of study, which practically implies engineering methodology and approach to the financial world, is termed Financial Engineering.

Who consumes it :  High Frequency trading – HFT Firms, Proprietary Trading Firms, Asset managers, commercial banks, investment banks, hedge funds, and insurance agencies

In simple terms, Financial Engineering is the result of using mathematical/engineering tools and techniques to solve financial problems.

This broad field of study uses tools and techniques from various areas, such as applied mathematics, economics, statistics, computer science, and finance solve and design innovative financial products.