Graduate Quantitative Researcher (2027 Start)
OptiverAbout the Role
As a Graduate Quantitative Researcher, you'll work across the full research process, from framing questions and choosing data to building, testing and deploying models. Machine Learning is central to the work, whether extracting signals, forecasting prices or modelling relationships. You'll participate in a structured onboarding programme (Global Optiver Academy) and then own research end-to-end, building models for pricing and forecasting, working with petabytes of data to find signals, monitoring models in production, and collaborating with researchers, traders and engineers to shape problems and understand system constraints.
Requirements
- An academic degree in Engineering, Physics, Maths, Econometrics, Computer science or equivalent, with outstanding academic achievements
- Programming experience in any language (preferably Python, but C, C++, Basic, JAVA, etc. are also a plus)
- Ability to apply concepts of probability, calculus and linear algebra
- Competitive attitude and eagerness to constantly improve
- Ability to learn quickly
- Excellent verbal and written English language skills
- Versatile and creative in innovating and suggesting new solutions
What You'll Get
- Performance-based bonus structure, enabling all employees to benefit from our global profit pool
- The opportunity to work alongside best-in-class professionals from over 50 countries
- 25 paid vacation days in your first year, increasing to 30 from your second year onwards
- Training opportunities, discounts on health benefits, and fully paid first-class commuting expenses
- Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, bi-weekly chair massages, Friday afternoon drinks, a bicycle to explore Amsterdam and much more
- Training and continuous learning opportunities, including access to conferences and tech events
- Competitive relocation packages and visa sponsorship where necessary for expats