Quantitative Intern (Summer 2027)
What You'll Do
- Develop a deeper understanding of financial markets, quantitative trading, and the research and technology that power them.
- Analyze complex datasets, investigate market behavior, and uncover insights that inform decision-making.
- Apply your quantitative and programming skills to solve real trading challenges and build impactful tools.
- Strengthen your decision-making skills through live market simulations and hands-on experience.
- Explore how AI tools can accelerate research, experimentation, and quantitative decision-making.
- Learn directly from experienced traders and researchers in a collaborative, high-performance environment.
Who You Are
- Currently pursuing a Bachelor's or Master's degree in a STEM field.
- Expected graduation between December 2027 and June 2029, with sophomore standing or higher.
- Available to intern during Summer 2027.
- Open to full-time opportunities upon graduation.
- Strong quantitative, analytical, and logical reasoning skills.
- Solid foundation in mathematics, probability, and statistics.
- Experience with programming or scripting in Python or another language.
- Strong interest in financial markets, quantitative research, and decision-making.
- Excited to work 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.
We do 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.
Below is the expected compensation for this position. This is a good-faith estimate of the base pay scale and sign-on bonus for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for the benefits listed above.
Base Salary Range $70,000—$88,000 USD