Quantitative analysts use their knowledge of maths and numerical operations to solve monetary or risk management problems.
Many organisations have just a few openings for quantitative analysts, and the application process can be highly competitive. Top employers may only be interested in candidates who hold a Doctor of Philosophy (PhD) degree in maths, statistics, engineering or a related field.
A typical course load for a student pursuing a degree in quantitative analysis would include topics in matrix methodology, linear algebra and statistics. Aspiring professionals should also learn about simulation modeling, optimisation analysis and probability.
An advanced knowledge of calculus, engineering and game theory is key; programming skills are essential, particularly in C++. A strong background in modeling with large amounts of data is also mandatory.
On a day-to-day basis, quantitative analysts should also be able to analyse trading performance and provide solutions to problems.