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Quantative Finance track

The Quantitative Finance track is for students with strong analytical skills and an interest in (big) data analysis and applications in finance.

Help develop the role of big data in finance

In many disciplines of finance, the use of quantitative tools is rapidly rising. So experts with a deep knowledge of quantative finance and data science are in high demand. 

In the Quantative Finance track we prepare you to become fluent in performing data driven analyses, for example in complex risk modelling for regulatory regimes like Basel III. Also, you will learn how to manage big data in other finance disciplines such as risk management, asset management and investment banking.

Do you have a mind for mathematics and an interest for data driven analysis applied to financial decision making? This may well be the track for you.

Track-specific courses

  • Computational Finance

    In this course we will familiarise you with the Python programming language and its ecosystem. You will be able to use this knowledge to solve problems in risk management and derivatives pricing.The following topics will be covered, along with their implementation in Python:

    • programming basics (control flow, data types, the Python ecosystem);
    • handling data (obtaining data, data-frames, regressions, plotting);
    • basics of risk management (Value at Risk);
    • derivatives pricing (binomial trees, Monte Carlo simulation, model calibration);
    • advanced topics in derivative pricing.
  • Advanced Risk Management

    In this course you will gain knowledge of modern techniques for financial risk management and measurement. The emphasis is on time-series models used to evaluate risk measures (Value at Risk and Expected Shortfall) and on backtesting tools to validate such models. 

Up-to-date issues

  • Basel IV: What are the challenges for market risk measurement and risk management? Which new tools are needed to implement the new standards?
  • The term structure of interest rates at the zero lower bound: how do very low or even negative interest rates effect interest rate modelling? How can pension funds manage their funding ratios in such a low-interest rate environment?
  • What role can machine-learning tools play in asset management and risk management?

Career prospects

Graduates of the Master's in Finance/Quantative Finance track have excellent job prospects for positions as investment banker, all-round financial or business analyst, investment advisor, portfolio manager, derivatives trader, treasurer and financial director, risk manager, business analyst with financial institutions or fin-tech start-ups, quantitative asset manager or hedge fund manager at Dutch and international companies, such as:

  • Optiver
  • Rabobank
  • ING
  • Ortec

Quantative Finance and 6 other tracks

Quantative Finance is one of 7 tracks you can opt for in our MSc Finance. If you are more interested in another field of Finance, read the info on one or more of the other tracks.