Super quant internship 2027

Department Robeco is home to one of Europe’s largest quantitative teams, with over 50 dedicated researchers and portfolio managers across equity, fixed income, and multi-asset strategies. Our team develops proprietary security selection and allocation/market timing models, as well as portfolio construction algorithms, and supports portfolio managers in areas such as risk management and performance attribution. Super Quant Internship 2027 Robeco’s Super Quant Internship gives you the opportunity to work on the full lifecycle of quantitative model development, either as part of your master’s thesis or as a standalone research internship. This full-time internship typically lasts around six months, with flexibility depending on your university’s requirements and the scope of your research. You’ll gain hands-on experience in data analysis, programming, interpreting results, and presenting your findings. Each project is supervised by an experienced researcher, many holding a PhD or CFA charter and affiliated with academic institutions, from one of our teams: Quantitative Research, Trading Research, or Investment Solutions. In addition to thesis‑based projects, we offer a few topics that are not combined with writing an academic thesis. These non‑thesis internships are suitable for students whose programs do not require a thesis, who prefer a purely practical internship, or whose thesis is completed or unrelated to the internship topic. Beyond research, the program includes engaging activities and gives you a behind‑the‑scenes look at life at Robeco and the broader asset management industry. Position & Requirements Super Quant Internship themes Internship projects are organized around six key research themes that reflect Robeco’s focus areas in quantitative research. More details and examples of past projects are available on the Super Quant website: Factor Investing Machine Learning Data Engineering Natural Language Processing Trading and Liquidity Sustainability When applying, you’ll be asked to indicate your preferences for one or more of these themes. Within each theme, we offer a selection of specific topics that vary over time. If you advance past the first screening round and are selected for interviews, we’ll provide detailed descriptions of the specific topics you’ve been shortlisted for, within your chosen themes. This will give you a clearer understanding of the projects and help you prepare effectively for the interview(s). Who we are looking for We are looking for master’s students with financial and/or technical backgrounds such as Econometrics, Quantitative Finance, Economics, Finance, Investments, Artificial Intelligence, Machine Learning, Engineering, Statistics, Mathematics or Computer Science, or other related disciplines. Key requirements: Eligibility for the program: You are a Master’s student who is either: About to begin your thesis at the start of the internship , with university approval to conduct a…