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Remote Machine Learning Quant Jobs in Chicago, IL

Senior Data Scientist

Chicago, IL · On-site +1

$122K - $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 ...

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

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

... 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

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Chicago IL - Remote Senior Data Scientist - AI, Machine Learning, NLP & Risk Analytics. This is really a Risk Analytics + AI/ML Scientist role disguised as a Data Scientist position. The strongest ...

... 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 Jun 22, 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:
What are popular job titles related to Remote Machine Learning Quant jobs in Chicago, IL? For Remote Machine Learning Quant jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Quant jobs in Chicago, IL look for? The top searched job categories for Remote Machine Learning Quant jobs in Chicago, IL are:
Data Scientist ID71658

Data Scientist ID71658

AgileEngine

Berwyn, IL • On-site, Remote

Full-time

Posted 6 days ago


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.