Mathematical and Computational Finance

Why study Mathematical and Computational Finance?

If you're a problem solver, have great math skills and a keen interest in financial markets, you'll thrive in Mathematical and Computational Finance, a field where these skills and interests intersect. Mathematical finance analysts apply their knowledge of mathematics, statistics, probability and financial theory to assess market forces and minimize risk and maximize profitability.

As a student, you'll study mathematics, statistics, probability, economics and computer science along with finance and management at the John Molson School of Business. Specialized courses in Mathematical and Computational Finance will give you many opportunities to practise applying mathematics to finance.

You will also:

• Learn the computational and modelling techniques used to price tradable assets such as bonds, securities, loans, energy and associated derivatives
• Learn to create, model, price, hedge and trade innovative financial products
• Develop an analytical and strategic eye for managing the risk associated with complex financial transactions

This program is designed for students who wish to begin a career in quantitative finance after graduation, or those who plan to pursue graduate studies in financial engineering or mathematical finance.

Mathematical and Computational Finance alumni may find employment in banks, investment firms, hedge funds, energy companies, government and other businesses. Graduates pursue careers in fields such as:

• Financial engineering
• Quantitative modelling and risk management
• Portfolio management
• Trading (equities, options, futures, interest rates, fixed income, currency, commodities, energy, credit)
• Algorithmic and high frequency trading
• Investment banking

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