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MSc in Mathematical Trading and Finance

Bayes Business School of City, University of London
London, United Kingdom
Competitive Salary
Closing date
Feb 13, 2024

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Job Role
Contract Type
Full Time
Who is it for?
Those wanting to develop innovative and effective trading strategies in the financial market with the help of advanced mathematical and statistical tools.

The MSc in Mathematical Trading and Finance will equip you with the skills to develop algorithms for optimal investment decisions across various asset classes.

To successfully complete this Mathematical Trading and Finance master’s course, you must have a good analytical skills and an interest in mathematics and statistics.

You may well have studied finance, economics, engineering or maths or physics as an undergraduate. Or you might have a bachelor’s degree in a science subject, in particular computer science.

You should have a general interest in learning the more quantitative and mathematical techniques used in financial markets, but you don’t need to have a background in finance.
*You might still see us referred to as Cass Business School. Find out more about our name change.

The difference between the MSc Mathematical Trading and Finance to the other two quants courses (MSc Financial Mathematics and MSc Quantitative Finance) are core modules which focus on quantitative trading and structuring.

You’ll study core modules which focus on the theory of finance and different financial assets. You will look at how these assets are priced and used for asset management or risk management purposes.

The second type of core modules cover the mathematical and statistical aspects needed in quantitative finance, including some stochastics. This also includes learning some programming languages, mainly Python, but Matlab and VBA modules are being offered as electives.

Finally, Term three offers you flexibility within your masters; either by writing a dissertation or undertaking a project. You can complete your postgraduate degree entirely choosing electives.

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