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Assistant Machine Learning Quant Jobs in Chicago, IL

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site +1

... Quant Research internship offer. What You'll Do: Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market ...

Optiver

Quantitative Intern (Summer 2027)

Chicago, IL · On-site

$70K - $88K/yr

... Quant Research internship offer. What You'll Do: Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market ...

IMC

Quantitative Researcher - Futures

Chicago, IL

... machine learning techniques to derive forecasts that will be combined with IMC's best-in-class ... Several years (5+ Years) of quantitative research experience, preferably in systematic trading ...

Akuna Capital

Quantitative Research Intern

Chicago, IL · On-site

$130K/yr

Develop trading strategies using statistical and machine learning algorithms. * Design and implement optimization algorithms for portfolio construction. * Develop quantitative models describing ...

Akuna Capital

Quant Strategist

Chicago, IL · On-site

$145K/yr

Akuna's Quantitative Trading and Research team is looking to add Quant Strategists to a team of ... Machine Learning, and Heterogeneous/High-Performance Computing. * Exceptional analytical and ...

Akuna Capital

Quant Strategist

Chicago, IL · On-site

$145K/yr

Akuna's Quantitative Trading and Research team is looking to add Quant Strategists to a team of ... Machine Learning, and Heterogeneous/High-Performance Computing. * Exceptional analytical and ...

IMC

Quantitative Researcher - Futures

Chicago, IL · On-site

$250K - $300K/yr

... machine learning techniques to derive forecasts that will be combined with IMC's best-in-class ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

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Assistant Machine Learning Quant information

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How much do assistant machine learning quant jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for assistant machine learning quant in Chicago, IL is $18.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $19.81 per hour, depending on experience, location, and employer.

What are Assistant Machine Learning Quants?

Assistant Machine Learning Quants are entry-level professionals in quantitative finance who support senior quants by applying machine learning techniques to analyze financial data, build predictive models, and develop trading strategies. Their responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They work closely with quantitative researchers and traders to improve algorithmic trading systems and risk management processes. This role typically requires strong programming skills, a solid understanding of machine learning concepts, and familiarity with financial markets.

How does an Assistant Machine Learning Quant typically collaborate with senior quants and data scientists on projects?

As an Assistant Machine Learning Quant, you will often work closely with senior quantitative researchers and data scientists by supporting model development, data preprocessing, and feature engineering tasks. You may contribute to brainstorming sessions, implement prototypes, and assist in backtesting trading strategies or risk models. This collaborative environment provides valuable mentorship opportunities and exposure to best practices in quantitative analysis and machine learning within the finance industry. Effective communication and a willingness to learn from senior team members are key to success in this role.

What are the key skills and qualifications needed to thrive as an Assistant Machine Learning Quant, and why are they important?

To thrive as an Assistant Machine Learning Quant, you need strong quantitative skills, a background in statistics or mathematics, and typically a degree in a STEM field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial modeling tools are essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies enable accurate model development, efficient data analysis, and clear collaboration with team members in high-stakes financial environments.
What are the most commonly searched types of Machine Learning Quant jobs in Chicago, IL? The most popular types of Machine Learning Quant jobs in Chicago, IL are:
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What cities near Chicago, IL are hiring for Assistant Machine Learning Quant jobs? Cities near Chicago, IL with the most Assistant Machine Learning Quant job openings:
Assistant Machine Learning Quant jobs near you
Infographic showing various Assistant Machine Learning Quant job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $38,682 per year, or $18.6 per hour.

Graduate Quantitative Researcher, PhD (2027 Start)

Optiver

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

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 Austin 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 an internship 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.
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
$200,000-$200,000 USD

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