Financial Mathematics MSc

The Financial Mathematics MSc enables graduates and professionals with a strong mathematical background to research, develop and apply quantitative and computational techniques to investment and risk management. Based in the Department of Mathematics, this course has a superb reputation for research-led teaching and strong links to industry.

Key benefits:

• A rigorous approach to quantitative finance taught entirely by the Department of Mathematics.
• In-depth coverage of the skills needed for working in the financial, actuarial or related industry: probability theory, optimisation, statistics and computer implementation.
• Unrivalled facilities in central London with City of London’s financial centre close by, and with access to live market data in our Bloomberg Data Laboratory.
• Flexible study course offering the opportunity to study part-time.
• King’s is a member of the London Graduate School in Mathematical Finance which provides advanced courses for students who wish to push beyond the MSc core syllabus.
• Lecturers on the course have extensive experience in consulting and working for financial companies and institutions such as Bank of Finland, Commerzbank, Deutsche Bank, Goldman Sachs, ION Trading, Standard Chartered Bank and Winton Capital Management.

Description:

Financial Mathematics studies problems of financial decision by combining various techniques from pure and applied mathematics. This course covers a diverse range of topics, from classical options pricing theory to post-crisis financial mathematics on optimal hedging, investment and risk management.

Like any branch of applied mathematics, financial mathematics analyses a given problem by first building a mathematical model for it and then examining the model. Both steps require detailed knowledge in different areas of mathematics, including probability, statistics, optimisation, computer science and many more traditional fields of mathematics.

Our Financial Mathematics MSc is a unique course that encompasses the essential skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets.

Career prospects:

Our graduates are highly sought after by investment banks, corporate risk management units, insurance companies, fund management institutions, financial regulatory bodies, brokerage firms, and trading companies. Recent employers of our graduates include Capital Investment, Credit Suisse, European Bank for Reconstruction & Development, Fitch Ratings, HSBC and Morgan & Stanley. Some graduates have chosen to pursue research degrees in financial mathematics.