Super quant internship 2027
First seen by Alion on Oct 7, 2026.
Robeco’s Super Quant Internship 2027 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.
- Location: The Netherlands, Rotterdam
- Time type: Full time
This full-time internship typically lasts around six months, with flexibility depending on your university’s requirements and the scope of your research.
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.
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.
- Factor Investing
- Machine Learning
- Data Engineering
- Natural Language Processing
- Trading and Liquidity
- Sustainability
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 company‑supervised thesis project within the themes described above; or
- Looking for a non‑thesis internship, where you will work on an applied research project without writing an academic thesis. A non‑thesis internship is well-suited for students who want to gain practical research experience without linking the internship to their thesis.
- Programming skills: Proficiency in programming and experience working with large datasets are major prerequisites.
- Analytical & creative mindset: You bring both strong analytical skills and creativity to tackle complex problems.
- Social & problem-solving skills: You can communicate the economic intuition behind your results, collaborate effectively with different stakeholders, and translate feedback into practical solutions.
All applications will be treated with the utmost confidentiality. An assessment and integrity test may be used in the selection procedure.
We offer an informal and flexible office atmosphere that gives people the room to be themselves, to grow and to perform to the best of their ability.