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Remote Machine Learning Quant Jobs in Chicago, IL

What you'll do: • Design and optimize systematic options trading strategies using quantitative research and machine learning techniques • Build and refine algorithmic trading models from ideation ...

... machine learning, and statistical modeling. This role goes beyond model development to include ... Due to the remote nature of this role and associated employment requirements, the company is unable ...

... machine learning, and statistical modeling. This role goes beyond model development to include ... Due to the remote nature of this role and associated employment requirements, the company is unable ...

Senior Manager, Data Science

Chicago, IL · On-site +1

$122.40K - $228K/yr

Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ... related quantitative field-or equivalent experience. * Proven track record of shipping models to ...

Systematic Equity Options Trader

Chicago, IL · On-site +1

$170K - $250K/yr

Experience with statistical analysis, machine learning, and quantitative modeling techniques * Must have a strong understanding of the market microstructure and execution algorithms * Excellent ...

... machine learning, or a closely related field * Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science ...

... quantitative research and machine learning techniques • Build and refine algorithmic trading models from ideation through production deployment • Analyze market microstructure and execution ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

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Showing results 1-20

Remote Machine Learning Quant information

See Chicago, IL salary details

$11.3K

$133.6K

$204K

How much do remote machine learning quant jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning quant in Chicago, IL is $133,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $142,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

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:

Junior Quantitative Trader

Anson McCade

Chicago, IL • On-site, Remote

Full-time

Posted 24 days ago


Job description

$175,000 USD
Discretionary Bonus
Onsite WORKING
Location: Chicago, Illinois - United States Type: Permanent
Our client is a proprietary trading firm specializing in electronic options market making. They take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Their team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. They emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
They 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:
• Design and optimize systematic options trading strategies using quantitative research and machine learning techniques
• Build and refine algorithmic trading models from ideation through production deployment
• Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
• Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
• Manage real-time risk across a diversified portfolio of options positions
Qualifications and skills:
• Previous experience trading (1-2 years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systems
• BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
• Exceptional attention to detail
• Excellent quantitative and analytical skills
• Ability to take on many responsibilities quickly with a high degree of operational excellence
• Strong python programming skills