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Prepare probability, statistics, and coding problems; be ready to explain past research methods and how you would test an idea before it affects live trading.
Strong fit if you want PhD-level quant research inside a trading firm in Austin, with on-site collaboration and a 2027 graduate start.
As a Graduate Quantitative Researcher at Optiver, expect days built around modeling markets, testing hypotheses on real trading data, and shipping analysis that traders and systems can use—code, stats, and careful validation more than slide decks.
Prioritize probability/statistics, coding for research (e.g. Python), and clear experimental design. No required certifications are listed for this path.
No. The listing is for Austin (Travis County) with remote set to off.
The title targets a 2027 start for PhD graduates.
None are specified in the provided data for this family of roles.
Website: optiver.com
Public cache only — not an employee review.
Join Optiver as a Graduate Quantitative Researcher in Austin, Texas, where you'll tackle complex financial market problems and develop sophisticated trading strategies in this full-time role launching in 2027. Position Summary You'll work at the heart of algorithmic trading, translating advanced quantitative methods into real-world market advantage. Collaborating closely with researchers, engineers, and traders, you'll investigate market dynamics through data, build predictive models that uncover trading opportunities, and apply statistical and machine learning techniques to solve problems that push the boundaries of financial technology. Your research will directly impact trading strategies deployed across global markets. Responsibilities Examine large-scale market datasets to identify patterns, anomalies, and exploitable opportunities Develop predictive algorithms and statistical models that enhance trading strategy performance Apply machine learning and advanced statistical inference to understand market microstructure and behavior Collaborate with researchers and engineers to validate findings and implement trading strategies Conduct rigorous backtesting and analysis to evaluate model effectiveness under real market conditions Contribute to the full research lifecycle from hypothesis generation through production deployment Who We're Looking For PhD candidate or recent PhD graduate in mathematics, physics, statistics, computer science, or closely related quantitative discipline Demonstrated expertise in probability theory, statistical analysis, and computational methods Strong programming skills in Python, C++, Java, or similar languages Experience working with large datasets and building data-driven models Ability to reason rigorously about uncertainty and make sound judgments with incomplete information Curiosity about how markets work and enthusiasm for solving hard problems More About Optiver Optiver is a global leader in algorithmic trading and market-making, with roots spanning nearly three decades and offices across major financial centers. We combine world-class mathematical and technological talent with a culture that rewards rigorous thinking, intellectual honesty, and innovation. At our Austin office, you'll join a team of brilliant researchers and engineers committed to advancing the frontiers of quantitative trading. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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