Graduate Quantitative Researcher, PhD (2027 Start
Listed on 2026-08-20
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IT/Tech
Data Scientist, AI Business & Operations, Machine Learning/ ML Engineer -
Research/Development
Data Scientist, AI Business & Operations
Graduate Quantitative Researcher, PhD (2027 Start)
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 ishighly appliedand end-to-end.
You’llframe research questions, test hypotheses, develop andvalidatemodels, and see your ideas evaluated in live market environments. Combining rigorous scientific thinkingwithmodernAI-enabledresearch infrastructure,you’ll transform insights into solutions that directly influence how we trade.
This opportunity is also available in our
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 ishighly appliedand end-to-end.
You’llframe research questions, test hypotheses, develop andvalidatemodels, and see your ideas evaluated in live market environments. Combining rigorous scientific thinkingwithmodernAI-enabledresearch infrastructure,you’ll transform insights into solutions that directly influence how we trade.
This opportunity is also available in our Austin office.
What You’llDo:
Your onboarding
You’llparticipatein Global Optiver Academy, a structureonboarding 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'llgain 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 andidentifytrading 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
- Applymodernresearch techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency
What You’llGet:
You’lljoin a culture of collaboration, continuous improvement,and excellence, surrounded by curious thinkers and creative problem-solvers. Together,you’lltackle some of the toughest challenges in the financial marketsbyleveragingcutting-edgemachine learning research to develop innovative, real-world solutions.
In addition,you’llreceive:
- The opportunity to work alongside best-in-class professionals from over 40 differentcountries
- 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,andmore
What To Expect :
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you’ll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive a full-time offer.
Who You Are:
- PhD in Statistics, Computer Science,Machine Learning,Mathematics, or a related STEM field, with outstanding academic achievements
- Expected to graduate by mid-2027and available to start full-time employment upongraduation
- Solid foundation in mathematics, probability, and statistics
- Excellent research,…
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