Job 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 Austin and New York offices. 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. Below is the expected base salary for this position. This position will also be eligible for a discretionary bonus and Optiver’s benefits package with the benefits listed above. Base Salary Range $200,000 — $200,000 USD

Requirements

Must-haves

This opportunity is also available in our Austin and New York offices.
Your onboarding
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
The opportunity to work alongside best-in-class professionals from over 40 different countries
Highly competitive compensation package
25 paid vacation days alongside market holidays
Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more
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

Nice-to-haves

Global profit-sharing pool and performance-based bonus structure

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningai

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)