Graduate Quantitative Researcher, PhD (2027 Start) at Optiver in Chicago

Job description

• As a Graduate Quantitative Researcher, you’ll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, you’ll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities.
• Research at Optiver is highly applied and end-to-end. You’ll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, you’ll transform insights into solutions that directly influence how we trade.
• This opportunity is also available in our Austin office.

Responsibilities

• Your onboarding
• You’ll participate in Global Optiver Academy, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business.
• Your responsibilities
• As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:
• 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

Requirements

• PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements
• Expected to graduate by mid-2027 and available to start full-time employment upon graduation
• 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

Skills

Required

• Proficiency in any programming language

Benefits

• You’ll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you’ll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
• The opportunity to work alongside best-in-class professionals from over 40 different countries
• Highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more
• Below is the expected base salary for this position. This position will also be eligible for a discretionary bonus and Optiver’s benefits package with the benefits listed above.
• Base Salary Range
• $200,000 - $200,000 USD