Verified current PhD Opportunity

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 t

PhD Opportunity Full source details
Optiver Austin, Austin, Chicago Source published Sep 20, 2026 Verified 5 hours ago
✓ 100% verification score · Source: Optiverus (greenhouse) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.

Overview

As a Graduate Quantitative Researcher, you’ll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and t

Complete research opportunity details

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 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-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   Who We Are:    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.   Our  differences are our edge. 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 supportiv e of US immigration sponsorship  for this role .     *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.  

Tips for this phd opportunity

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
  2. Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
  3. Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
  4. Contact a supervisor before applying only when the official instructions recommend or require it.

Verification notes

laptop-ats-crawler v3

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Optiverus (greenhouse) ↗

Browse current Job and Scholarship listings from Optiverus (greenhouse) →

Related opportunities

Other current verified records you may want to review.

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books