See below the list of our open research projects and the associated candidate profile we are looking for.
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.
For more information about the internships see Frequently Asked Questions.
Currently, there is no Super Quant Internship project available. Please check our website in November 2020 to see the list of the new projects for the next year.
However, if you are a technical candidate who is looking for an applied project, we might have something interesting for you. Such projects usually take about 3 months, during which we answer small research questions or build practical tools for financial analysis. For these projects having a solid programming background (such as Python) and affinity with advanced quantitative techniques (such as machine learning) are mandatory. If you are interested apply by sending your CV and Cover Letter to SQ@robeco.nl.
Current master students with any 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.