Quantitative Research Intern, PhD (Summer 2027)

Optiver • Chicago, IL

14h • $80,000 - $100,000 • Onsite

About The Position

As a Quantitative Research Intern, you’ll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You’ll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets. This opportunity is also available in our Austin office.

Led by our dedicated Education team, you’ll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you’ll work alongside an experienced researcher and contribute to a project that’s aligned with current business needs. Throughout the internship, you’ll gain exposure to the AI tools and technologies that support research and development across the business, with the opportunity to contribute to several key areas:

Requirements

• 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
• Solid foundation in mathematics, probability, and statistics
• Excellent research, analytical, and modeling skills
• Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
• Proficiency in any programming language
• Strong interest in working in a fast-paced, collaborative environment
• 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

Benefits

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance
• A highly-competitive internship compensation package
• Optiver-covered flights, living accommodations, and commuting stipends
• Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree