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Develop predictive models and machine learning systems to analyze large-scale market data and identify trading opportunities. Build and test statistical and stochastic models for pricing, forecasting, and risk management within global financial markets.
Requirements
Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with an expected graduation between December 2027 and June 2029. Must possess a strong foundation in mathematics and probability, along with proficiency in programming and experience applying ML to real-world research.
Full job description
As a Quantitative Research Intern, you’ll work alongside researchers, engineers, and traders to tackle some of the most challenging quantitative problems in global financial markets. You’ll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to uncover patterns in market behavior. AI-driven research at Optiver is where competitive advantage is built, transforming ideas, models, and insights into trading strategies that operate in live markets.
This opportunity is also available in our Chicago office.
What You’ll Do:
Led by our dedicated Education team, you’ll build a strong foundation in market structure and options theory. This internship follows an apprentice-style learning model where you’ll work alongside an experienced researcher and contribute to a project that’s aligned with current business needs. Throughout the internship, you’ll gain exposure to the AI tools and technologies that support research and development across the business, with 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
The opportunity to earn a return internship or full-time offer in Chicago, Austin, or New York City based on performance
A highly-competitive internship compensation package
Optiver-covered flights, living accommodations, and commuting stipends
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:
Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
Expected graduation between December 2027 – June 2029 and available to intern during Summer 2027
Open to full-time opportunities upon graduation in 2028 or 2029
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 supportive 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.
A global technology- and research-driven trading firm where ideas become breakthroughs in global markets.
Industry
Financial Services
Company size
1,001-5,000 employees
Founded
1986
Headquarters
Amsterdam
LinkedIn followers
282,299
At Optiver, we continuously quote buy and sell prices across financial markets, using our own capital and advanced technology to provide liquidity at scale across products, venues and market conditions.
We are a global company with offices in Amsterdam, Sydney, Chicago, Austin, Taipei, Hong Kong, Shanghai, London, New York, and Singapore.
Offices: Strawinskylaan 3095, Amsterdam, 1077ZX, NL · 275 Kent Street, Level 32, Sydney, New South Wales 2000, AU · 130 East Randolph Street, Suite 800, Chicago, Illinois 60601, US · 1568 Century Avenue, 35F, China Fortune Tower, Shanghai , 200122, CN · 1 Connaught Rd Central, Suites 3206-09, 32F, Hong Kong, HK
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