Super Quant internship vacancies

The projects cover the entire quant model development cycle: analyzing the data, programming the back-tests, analyzing the results, discussing results with researchers and portfolio managers, writing a research report and giving a presentation. All assignments will be supervised by an experienced empirical researcher of Robeco’s Quantitative Research department.

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We have several open research projects which we categorized under various research themes. A high level description of each area of research is given on the pages below, together with some research projects of previous internships.

NB: Currently most positions are filled and we only have topics available in the NLP and Sustainability Themes.

Machine Learning Natural Language Processing Trading and Liquidity Factor Investing

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Profile:

Current master students with any financial/technical backgrounds – such as Financial Economics, Econometrics, Data Science, Computer Science, Engineering and Math – are welcome to apply.

  • Programming skills and ability to work with (often large) datasets are major perquisites, and creativity and analytical skills are essential to successfully complete the project.

  • In our day-to-day work, it is at least as important to be able to explain the economic intuition as it is to compute the necessary results.

  • Thus, a successful candidate has strong social and problem-solving skills. She/He will consult with different parties and is capable to translate their input into applicable solutions.

  • We strive to maintain the diversity in personalities and backgrounds that exists in our department; for this reason, complementarity of the candidate to the existing team is an important consideration in the selection process.


For more information about the internships see Frequently Asked Questions.