We are looking for master’s students who are either:
About to begin your thesis at the start of the internship, with university approval to collaborate on a company supervised thesis project within the themes described above; or
Looking for a non thesis internship, where you will work on an internship project without writing an academic thesis. A non thesis internship is well suited for students whose thesis is completed, being written separately, or unrelated to the internship topic.
We are seeking students that have affinity with quantitative research and investing, and have a strong financial/technical background , such as Econometrics, Quantitative Finance, Economics, Finance, Investments, Artificial Intelligence, Machine Learning, Engineering, Statistics, Mathematics or Computer Science, or other related disciplines.
Key requirements:
Programming skills: Proficiency in programming and working with large datasets are major prerequisites.
Analytical & Creative mindset: You should bring both creativity and strong analytical skills to successfully finish the project.
Social & Problem-Solving Skills: Strong interpersonal skills are crucial. You should be able to explain the economic intuition behind your results. You should be able to consult with different parties, and capable to translate their input into applicable solutions.