- Страна
- США
- Зарплата
- 175 000 $
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Graduate Quantitative Researcher, PhD (2026 Start)
Исключительная позиция для выпускников PhD с очень высокой базовой зарплатой, доступом к глобальному пулу бонусов и отличным социальным пакетом. Работа в одной из ведущих мировых компаний в сфере маркет-мейкинга обеспечивает колоссальный карьерный рост.
Сложность вакансии
Чрезвычайно высокий порог входа из-за требования степени PhD в точных науках и необходимости глубоких знаний в стохастическом моделировании и машинном обучении. Процесс отбора в Optiver известен своей сложностью и включает проверку математических способностей и навыков программирования.
Анализ зарплаты
Базовая зарплата в $175,000 является верхней планкой для начальных позиций (Graduate) в сфере количественных исследований в США. С учетом бонусов, которые в проп-трейдинге могут кратно превышать оклад, совокупный доход значительно выше среднего по рынку для PhD выпускников.
Сопроводительное письмо
I am writing to express my strong interest in the Graduate Quantitative Researcher position at Optiver for the 2026 intake. As a PhD candidate in a STEM field with a focus on advanced statistical modeling and machine learning, I have spent my academic career developing the analytical rigor and research independence that Optiver demands. My experience in handling complex datasets and building predictive models aligns perfectly with your mission to provide liquidity and accurate pricing in global markets.
I am particularly drawn to Optiver’s collaborative culture and the Global Academy onboarding program. Having worked extensively with time-series analysis and high-performance computing during my doctoral research, I am eager to apply these skills to the challenges of market microstructure and derivative pricing. I am confident that my mathematical foundation and proficiency in programming will allow me to contribute meaningfully to your research team and help refine the algorithmic strategies that drive your success.
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Откликнитесь в optiverus уже сейчас
Присоединяйтесь к элите количественных исследований в Optiver и начните свою карьеру в высокочастотном трейдинге уже в 2026 году!
Описание вакансии
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.
This opportunity is also available in our New York City and Austin offices.
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.
- 25 paid vacation days alongside market holidays.
- Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.
Who you are:
- PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
- Expected to graduate 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
- Independent research experience
- 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 stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.
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.
\*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.
Below is the expected base salary for this position. This is a good-faith estimate of the base pay scale 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 a discretionary bonus (if determined by Optiver) and Optiver’s benefits package with the benefits listed above.
Base Salary Range
$175,000—$175,000 USD
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Навыки
- Mathematics
- Statistics
- Machine Learning
- Probability
- Time Series Analysis
- Pattern Recognition
- Stochastic Modeling
- Algorithmic Trading
- Python
- C++
Возможные вопросы на собеседовании
Проверка понимания основ теории вероятностей, критически важных для оценки рисков в трейдинге.
Представьте, что у вас есть смещенная монета. Как вы можете использовать её, чтобы имитировать бросок честной монеты?
Оценка навыков работы с временными рядами, что является основой для разработки торговых стратегий.
Как бы вы подошли к моделированию нестационарного временного ряда для прогнозирования цен на активы?
Проверка знаний в области ценообразования производных финансовых инструментов.
Объясните интуитивно понятным языком, как изменение волатильности влияет на дельту опциона 'при своих' (at-the-money).
Оценка способности оптимизировать алгоритмы для высокочастотной среды.
Какие архитектурные решения в коде вы бы использовали для минимизации задержек (latency) при обработке рыночных данных?
Проверка практического опыта в машинном обучении и понимания проблемы переобучения.
Как вы боретесь с переобучением (overfitting) при создании моделей на зашумленных финансовых данных?
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- Страна
- США
- Зарплата
- 175 000 $