Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As a Graduate Quantitative Researcher, you will tackle challenging quantitative problems in global financial markets. You will analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to understand market behavior and identify trading opportunities. Research at Optiver is highly applied and end-to-end, involving framing research questions, testing hypotheses, developing and validating models, and seeing ideas evaluated in live market environments.
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.
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
- Machine learning
- Statistical modeling
- Stochastic modeling
- Deep learning
- AI-enabled workflows
- Time-series analysis
- Prediction
- Forecasting
- Pattern recognition
- Optimization
- Decision-making
- Programming
Location
- Chicago
Work Type
- Full-time
Experience Level
- Graduate
Education Level
- PhD
Salary/Compensations
- Highly competitive compensation package
- Global profit-sharing pool
- Performance-based bonus structure
Benefits
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days
- Market holidays
- Breakfast
- Lunch
- Snacks
- Regular social events
- Clubs
- Sporting leagues
About the Company
- Optiver is a leading technology- and research-driven trading firm.
- Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets.
- Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Equal Opportunity
- Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
- Optiver is supportive of US immigration sponsorship for this role.