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Austin, Texas, United States
Posted · 23.09.2026
Greenhouse (US)

# Graduate Quantitative Researcher, PhD (2027 Start)

Optiver

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.&nbsp; Research at Optiver is&nbsp;highly applied&nbsp;and end-to-end.&nbsp;You’ll&nbsp;frame research questions, test hypotheses, develop and&nbsp;validate&nbsp;models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking&nbsp;with&nbsp;modern&nbsp;AI-enabled&nbsp;research infrastructure,&nbsp;you’ll&nbsp;transform insights into solutions that directly influence how we trade.&nbsp; This opportunity is also available in our Chicago and New York offices. What&nbsp;You’ll&nbsp;Do:&nbsp; Your onboarding&nbsp; You’ll&nbsp;participate&nbsp;in&nbsp;Global Optiver Academy, a structure&nbsp;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.&nbsp;As part of your onboarding,&nbsp;you'll&nbsp;gain exposure to the AI tools and technologies that support research and development across the business.&nbsp; Your responsibilities&nbsp; As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:&nbsp; Develop predictive models and machine learning systems to better understand market behavior and&nbsp;identify&nbsp;trading opportunities&nbsp; Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance&nbsp; Build and test statistical and stochastic models for pricing, forecasting, and risk management&nbsp; Apply&nbsp;modern&nbsp;research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency&nbsp; What&nbsp;You’ll&nbsp;Get:&nbsp;&nbsp; You’ll&nbsp;join a culture of collaboration, continuous improvement,&nbsp;and excellence, surrounded by curious thinkers and creative problem-solvers. Together,&nbsp;you’ll&nbsp;tackle some of the toughest challenges in the financial markets&nbsp;by&nbsp;leveraging&nbsp;cutting-edge&nbsp;machine learning research to develop innovative, real-world solutions.&nbsp; In addition,&nbsp;you’ll&nbsp;receive:&nbsp; The opportunity to work alongside best-in-class professionals from over 40 different&nbsp;countries&nbsp; Highly competitive compensation package&nbsp; Global profit-sharing pool and performance-based bonus structure&nbsp; 401(k) match up to&nbsp;50%&nbsp; Comprehensive health, mental, dental, vision, disability, and life coverage&nbsp; 25 paid vacation days alongside market holidays&nbsp; Extensive office&nbsp;perks, including breakfast, lunch,&nbsp;snacks, regular social events, clubs, sporting leagues,&nbsp;and&nbsp;more&nbsp; What&nbsp;To&nbsp;Expect:&nbsp; 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.&nbsp; Who&nbsp;You Are:&nbsp; PhD in&nbsp;Statistics, Computer Science,&nbsp;Machine Learning,&nbsp;Mathematics, or a related STEM field, with outstanding academic achievements&nbsp; Expected to graduate by mid-2027&nbsp;and available to start full-time employment upon&nbsp;graduation&nbsp; Solid foundation in mathematics, probability, and statistics&nbsp; Excellent research, analytical, and modeling skills&nbsp; Experience applying machine learning methods to real-world research problems, such as&nbsp;time-series analysis,&nbsp;prediction, forecasting, pattern recognition, optimization, or decision-making&nbsp; Proficiency&nbsp;in any programming language&nbsp; Strong interest in working in a fast-paced, collaborative&nbsp;environment&nbsp; Fluent in English with strong written and verbal communication skills&nbsp; Who&nbsp;We Are:&nbsp;&nbsp; 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.&nbsp; Our&nbsp;differences are our edge. Optiver does not discriminate&nbsp;on the basis of&nbsp;race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.&nbsp; Optiver is supportive of US immigration sponsorship&nbsp;for this role.&nbsp; &nbsp; Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.&nbsp;

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