Quantitative Research Internship: Live Markets & ML

VSAE; Amsterdam; Hybrid; EUR 20,000 - 27,000; Full time

Benefits offered by this job

Flight and accommodation covered

Office perks and meals

Social and sports events

Job summary

Optiver is offering a Quantitative Research Internship starting in 2026, aimed at penultimate-year STEM students. You will work with a team of mathematicians and researchers to develop forecasting models and trading algorithms, using real Optiver technology on live markets with simulated capital.

The ten-week program emphasizes rigorous research, exposure to multiple desks, and a possible full-time offer after graduation. Strong programming and ML skills are valued.

Qualifications

• Penultimate-year student in Mathematics, Statistics, Computer Science, Physics or related STEM field.
• Solid foundation in mathematics, probability and statistics.
• Excellent research, analytical and modelling skills.
• Proficiency in any programming language.

Responsibilities

• Delve into trading fundamentals and engage in research projects that influence trading decisions.
• Trade on live markets using Optiver technology with simulated capital during the internship.
• Use statistical models and machine learning to develop trading algorithms.
• Analyze trading strategies and financial instruments to identify opportunities.
• Combine quantitative analysis with high‑performance implementation for model efficiency and accuracy.

Skills

Programming skills

Research & modelling

Machine learning knowledge

Education

Penultimate-year STEM student

Tools

Time-series tools

Statistical software

Job description

Optiver is offering a Quantitative Research Internship starting in 2026, aimed at penultimate-year STEM students. You will work with a team of mathematicians and researchers to develop forecasting models and trading algorithms, using real Optiver technology on live markets with simulated capital.

The ten-week program emphasizes rigorous research, exposure to multiple desks, and a possible full-time offer after graduation. Strong programming and ML skills are valued.