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Paid Internship
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14Open Positions

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Super quant internship 2026

Robeco
Found 1 month ago
Location
Rotterdam, Netherlands
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Econometrics
  • Quantitative Finance
  • Economics
  • Finance
  • Investments
  • Artificial Intelligence
  • Machine Learning
  • Engineering
  • Statistics
  • Mathematics
  • Computer Science
  • Programming
  • working with large datasets

Soft Skills

  • Analytical skills
  • creative mindset
  • Social skills
  • problem-solving skills
  • communicate the economic intuition behind your results
  • collaborate effectively with different stakeholders
  • translate feedback into practical solutions

Job Description

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.

Requirements

  • 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.
  • 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 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 who want to gain practical experience without linking the internship to their thesis.
  • Proficiency in programming and working with large datasets are major prerequisites.
  • You bring both strong analytical skills and creativity to tackle complex problems.
  • You can communicate the economic intuition behind your results, collaborate effectively with different stakeholders, and translate feedback into practical solutions.

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Research

Languages

  • English

Nice to Haves

  • CFA charter
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