Graduate Quantitative Researcher, PhD (2027 Start)
Optiver
| Company | Optiver |
| Category | Data & Analytics |
| Location | Austin |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Entry |
| Salary | Not stated by the employer |
| Posted | 1 Jul 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (greenhouse) |
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 Chicago office.
What You’ll Do:
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
What You’ll Get:
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.
In addition, you’ll receive:
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
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 an internship 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-2027 and available to start full-time empl