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OptiverNew York City, NY

Graduate Quantitative Researcher, PhD (2027 Start)

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Programme

Graduate

Location

New York City, NY

About the role

Graduate quantitative research role in New York for PhD candidates graduating by mid-2027. You will analyze market and order-flow data, develop predictive and machine-learning models, test hypotheses, and build pricing, forecasting, and risk models. Work alongside researchers, engineers, and traders to turn research into live trading solutions.

Responsibilities

  • Develop predictive models and machine-learning systems to understand market behavior and identify trading opportunities.
  • Analyze large-scale market and order-flow data to uncover signals and evaluate research hypotheses.
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management.
  • Apply deep learning and AI-enabled workflows to accelerate research and improve efficiency.

Onboarding and Assessment

  • Complete Global Optiver Academy onboarding covering trading, systems, risk management, and AI research tools.
  • Assessment may include a multi-day onsite program with workshops and technical discussions involving researchers and traders.
  • Successful completion of the evaluative program may be required to receive an internship offer.

Compensation and Benefits

  • Expected base salary is $200,000 USD, with eligibility for a discretionary bonus and benefits package.
  • Participate in a global profit-sharing pool and performance-based bonus structure.
  • Receive a 401(k) match of up to 50%.
  • Benefits include health, mental, dental, vision, disability, and life coverage.
  • Receive 25 paid vacation days alongside market holidays.
  • Office perks include meals, snacks, social events, clubs, and sporting leagues.

Additional Information

  • The opportunity is also available in Optiver’s Chicago and Austin offices.
  • Optiver supports US immigration sponsorship for this role.
  • Applicants completing an assessment or interview within the past eight months must wait before reapplying.