The aspiring Quantitative Analyst can study any of the following degrees:
- MSc Physics
- MSc Statistics
- MSc Applied Mathematics
- MSc Industrial Mathematics
- MSc Operational Research
- MSc Engineering
- MSc Numerical Mathematics
- MSc Financial Mathematics
These degrees aim to develop scientific, mathematical and computer competencies.
You will learn advanced Mathematical and Modelling skills, Calculus (including differential, integral and stochastic), numerical linear algebra (NLA), Game Theory and probability and statistics.
You will need to understand various programming languages, such as Java, Python and C++/C#, programs such as MatLab, SAS, S-PLUS/R and Excel, and distributed computing like Spark. You will also learn skills in big data modelling, machine learning, data mining and pattern recognition, as well as cloud data storage and computing.
In the field of Finance, you will require knowledge of financial modelling, portfolio theory, credit risk and credit risk products, equity & interest rate derivatives and systematic and discretionary trading practices.