Maurits has studied Economics and Business Economics (BSc) at the Vrije Universiteit in Amsterdam, during which he geared himself more towards quantitative methods and finance with a minor in econometrics. After, he started the Duisenberg Honours Program in Quantitative Risk Management (MSc).

Maurits experience is mostly related to this masters’ program, obtaining skills by implementing statistical, as well as machine learning methods. Related topics would include stochastic calculus, data mining, econometrics, credit and systemic risk, and algorithmic trading. Maurits was also active for the Vrije Universiteit as an ambassador, organising information and presentation sessions for the study program. Doing this, he gained important communication and presentation skills. Maurits was also active as a teaching assistant, presenting tutorials for a finance bachelor course, and helping with Exam Q&A’s.

Maurits enjoys working in a team to tackle complex problems, coding, and exploration of machine learning technologies. He has a background in Finance, Econometrics, quantitative methods, and programming. Maurits is a social person who enjoys brain teasers and working with others.