AI-Driven Quantitative Research Intern

Optiver; Town of Texas (WI); On-site; USD 48,000 - 80,000; Full time

Job summary

Optiver in the United States is seeking a Quantitative Research Intern to work with researchers, engineers, and traders on large-scale datasets, predictive models, and ML techniques to uncover patterns in market behavior. This apprentice-style role is based in Chicago with opportunities to contribute to live trading strategies.

You will gain exposure to AI tools, participate in multi-disciplinary projects, and potentially receive an internship-to-full-time offer based on performance.

Qualifications

• Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance.
• Expected graduation between December 2027 – June 2029 and available to intern during Summer 2027.
• Open to full-time opportunities upon graduation in 2028 or 2029.
• Fluent in English with strong written and verbal communication skills.

Responsibilities

• Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
• Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
• Build and test statistical and stochastic models for pricing, forecasting, and risk management
• Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency

Skills

Time-series analysis

Prediction

Forecasting

Pattern recognition

Optimization

Decision-making

Programming basics

English communication

Education

PhD in Statistics/CS/ML/Math or related STEM

Job description

Optiver in the United States is seeking a Quantitative Research Intern to work with researchers, engineers, and traders on large-scale datasets, predictive models, and ML techniques to uncover patterns in market behavior. This apprentice-style role is based in Chicago with opportunities to contribute to live trading strategies.

You will gain exposure to AI tools, participate in multi-disciplinary projects, and potentially receive an internship-to-full-time offer based on performance.