ZipRecruiter

Log In

1

Quantitative Researcher Machine Learning Jobs in Chicago, IL

Edgehog Trading

Quantitative Researcher

Chicago, IL · On-site

... of research or industry experience in quantitative finance, systematic trading, or applied ML ... Solid foundation in probability, statistics, and machine learning * Ability to think rigorously ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

next page

Showing results 1-20

All JobsQuantitative Researcher Machine Learning JobsQuantitative Researcher Machine Learning Jobs in Chicago, IL

Quantitative Researcher Machine Learning information

See Chicago, IL salary details

$54.1K

$122.8K

$202.4K

How much do quantitative researcher machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative researcher machine learning in Chicago, IL is $122,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $157,100.00 per year, depending on experience, location, and employer.
What are popular job titles related to Quantitative Researcher Machine Learning jobs in Chicago, IL? For Quantitative Researcher Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher Machine Learning jobs in Chicago, IL look for? The top searched job categories for Quantitative Researcher Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Quantitative Researcher Machine Learning jobs? Cities near Chicago, IL with the most Quantitative Researcher Machine Learning job openings:
Quantitative Researcher Machine Learning jobs near you
Infographic showing various Quantitative Researcher Machine Learning job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $122,758 per year, or $59 per hour.

Quantitative Researcher

Edgehog Trading

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

About us
Edgehog Trading is a proprietary trading firm specializing in electronic options market making. We take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Our team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. We emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
We operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.
What you'll do:
  • Conduct signal, alpha, and feature research to develop models that improve trading strategy performance
  • Design, backtest, and iterate on quantitative trading models from ideation through production deployment
  • Analyze market microstructure, execution quality, and options pricing dynamics to identify new research directions
  • Collaborate closely with traders and engineers to translate research findings into live trading systems
  • Use AI tools actively throughout your research workflow - from exploring datasets and generating hypotheses to accelerating code and stress-testing model assumptions
  • Contribute to research infrastructure: data pipelines, evaluation frameworks, and reproducibility tooling

Qualifications and skills:
  • BS, MS, or PhD in a quantitative field - Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or similar
  • 1-3 years of research or industry experience in quantitative finance, systematic trading, or applied ML / data science
  • Strong programming skills in Python; comfort with numerical libraries (NumPy, pandas, SciPy) and data analysis at scale
  • Solid foundation in probability, statistics, and machine learning
  • Ability to think rigorously about model assumptions, overfitting risks, and out-of-sample validation
  • Comfort with AI-assisted development: you actively use LLMs and other AI tools to move faster, think more clearly, and build better
  • Genuine curiosity about markets, trading, and how quantitative systems interact with real-world price dynamics
  • Candidates from data science or applied ML backgrounds are welcome - strong modeling instincts and statistical rigor matter more to us than prior finance experience

Why Edgehog:
  • Small team advantage: Direct access to founders and senior team members from day one
  • Ownership early: Manage real P&L and make meaningful impact within your first year
  • Cutting-edge tech: Work with our proprietary models and low-latency trading systems built in-house
  • Tight feedback loops: Weekly 1-on-1s with your mentor, quarterly reviews with leadership
  • Chicago-based: Affordable cost of living, vibrant trading community

Benefits:
  • Comprehensive health, dental, and vision insurance with premiums 100% covered by the firm
  • 401(k) with a 4% company match
  • Unlimited paid time off and sick leave
  • Free lunch, coffee, drinks, and snacks
  • Commuter benefits
  • Monthly happy hours and annual team events

The base salary range for this position is listed below. Base salary represents just one part of overall compensation; all full-time, permanent roles are eligible for a discretionary bonus and benefits, including items in the above list.
The base salary for this role is 120,000 - 175,000 USD per year

Apply