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Assistant Graduate Quantitative Analyst Jobs (NOW HIRING)

IMC

Graduate Quantitative Researcher (PhD)

Chicago, IL · On-site

$250K/yr

You will leverage your superior analytical, mathematical, and computing skills to improve existing ... Quantitative Researchers work closely Traders and Developers in an environment where problem ...

Citi

Mortgage Quantitative Analyst, VP

New York, NY

$175K - $250K/yr

Education Graduate degree (Masters or PhD) in Computer Science, Mathematics, Physics, Engineering ... Quantitative Analysis ----- Time Type: Full time ----- Primary Location: New York New York United ...

Trading Interview

You will leverage your superior analytical, mathematical, and computing skills to improve existing ... Quantitative Researchers work closely Traders and Developers in an environment where problem ...

IMC

Graduate Quantitative Researcher (PhD)

Chicago, IL · On-site

$250K/yr

You will leverage your superior analytical, mathematical, and computing skills to improve existing ... Quantitative Researchers work closely Traders and Developers in an environment where problem ...

Aplaro Ltd

Graduate Quantitative Trader

Manhattan, NY · On-site

$175K/yr

Excellent mental math, quantitative, and analytical skills * Proficiency in Python * Ability to think on your feet, reason logically, and deliver under pressure * Entrepreneurial and competitive ...

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As of Sep 15, 2026, the average yearly pay for assistant graduate quantitative analyst in the United States is $71,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $83,500.00 per year, depending on experience, location, and employer.

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Graduate Quantitative Researcher, PhD (2027 Start)

Austin, TX • On-site

Optiver
See more jobs at Optiverexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Key responsibilities

  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities

  • Build and test statistical and stochastic models for pricing, forecasting, and risk management

Job description

As a Graduate Quantitative Researcher, you'll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities.
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, you'll transform insights into solutions that directly influence how we trade.
This opportunity is also available in our Chicago office.
What You'll Do:
Your onboarding
You'll participate in Global Optiver Academy, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business.
Your responsibilities
As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:
  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency

What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • Highly competitive compensation package
  • Global profit-sharing pool and performance-based bonus structure
  • 401(k) match up to 50%
  • Comprehensive health, mental, dental, vision, disability, and life coverage
  • 25 paid vacation days alongside market holidays
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more

What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive a full-time offer.
Who You Are:
  • PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements
  • Expected to graduate by mid-2027 and available to start full-time employment upon graduation
  • Solid foundation in mathematics, probability, and statistics
  • Excellent research, analytical, and modeling skills
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
  • Proficiency in any programming language
  • Strong interest in working 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.
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.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.

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