Back to all opportunities
InternshipOnsite

Quantitative Research Internship

Optiver

Source: Manual

Onsite · EuropeExact amount: Not publicly specified on the official listing sitePosted 3 weeks ago

Opportunity details

About Optiver

Optiver quantitative research is a 10-week quantitative research internship where interns use data, mathematics and technology to develop quantitative insights and trading strategies. The program combines structured training with hands-on research, simulated trading and AI applications.

Responsibilities

1 Develop and test a systematic trading strategy. 2 Work with large financial-market datasets. 3 Test hypotheses and identify patterns. 4 Conduct quantitative analysis and modelling. 5 Participate in simulated trading using Optiver technology. 6 Learn and apply AI to real-world trading problems. 7 Work alongside traders and quantitative researchers

Requirements

1 Be a penultimate-year student in:

  • Mathematics
  • Statistics
  • Computer Science
  • Physics
  • Related STEM field

2 Be able to work full-time after graduation in 2028. 3 Strong foundation in mathematics, probability and statistics. 4 Excellent research, analytical and modelling skills. 4 Independent research experience. 5 Proficiency in any programming language. 6 Machine learning, time-series analysis and pattern-recognition knowledge is a plus. 7 Strong interest in financial markets/research. 8 Fluent English and strong written/verbal communication skills.

Benefits

1 Competitive internship compensation 2 Covered flights 3 Covered city-centre accommodation 4 Structured training 5 Mentorship/exposure to traders and researchers 5 Simulated trading experience

Best for

Quantitative Trading

Also related: Agentic Systems

Why this matches our community

This opportunity aligns with skills Analytic Sages learners build across data, AI, and quantitative careers.

Analytic Sages aggregates opportunities from external sources and does not guarantee the accuracy, availability, or legitimacy of third-party listings. Always conduct your own due diligence.