Graduate Quantitative Researcher, Bachelor’s or Master’s Degree

As a Graduate Quantitative Researcher, you will develop, refine, and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists, and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver’s trading strategies. What you’ll do: Your onboarding You will participate in Optiver’s comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference. Your responsibilities As a Quantitative Researcher, you will have the opportunity to contribute to several key areas: Using statistical models and machine learning to develop trading algorithms. Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure, and financial instruments to identify trading opportunities. Building stochastic models to determine the fair value of financial derivatives. Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries. What you’ll get: You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets. In addition, you’ll receive: A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams, and offices into a global profit pool. The opportunity to work alongside best-in-class professionals from over 40 different countries. Ownership over initiatives that directly solve business problems. 401(k) match up to 50% and fully paid health insurance. Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more. Who you are: Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements. Expected graduation date by mid-2026 and available to start full-time employment upon graduation. Solid foundation in mathematics, probability, and statistics. Excellent research, analytical, and modeling skills. Proficiency in any programming language. Experience in machine learning, with practical applications in time-series analysis and pattern recognition. Strong interest in working in a fast-paced, collaborative environment. Fluent in English with strong written and verbal communication skills. Who we are: At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency, and stabilizing the market regardless of conditions. We focus on continuous improvement and prioritize safeguarding the health and efficiency of markets for all participants. As one of the largest market-making institutions, we are a respected partner on 100+ exchanges worldwide. Our differences are our strength. Optiver does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. Optiver supports US immigration sponsorship for this role. *We accept one application per role per year. If you have previously applied to this position during this season and been unsuccessful, you may reapply once the next recruitment season begins in 2026. Below is the expected base salary for this position. This is an estimate of the base pay scale, and offers will be based on experience, education, skill set, and interview performance. The role is also eligible for a discretionary bonus and benefits as listed above.

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