Quantitative Research Analyst Jobs in Illinois
Quantitative Research Analyst jobs in Illinois are concentrated in finance, trading, and asset management, with Chicago standing as one of the most active markets in the country for quantitative talent at every level from entry-level analyst through senior researcher. Most hiring clusters in Chicago, Evanston, and the North Shore corridor, where firms like CME Group, Morningstar, and Citadel have long-established research operations. Risk modeling, algorithmic strategy development, and portfolio analytics are the most in-demand specialties across Illinois listings. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 10+ Quantitative Research Analyst jobs
INTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
As a Quantitative Researcher at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We Have Open Roles On Multiple Teams Including
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
TECHNOLOGIES:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
REQUIREMENTS
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
PERKS
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
INTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
As a Quantitative Researcher at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We Have Open Roles On Multiple Teams Including
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
TECHNOLOGIES:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
REQUIREMENTS
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
PERKS
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
See All 10 Quantitative Research Analyst Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
Find JobsQuantitative Research Analyst Jobs by City in Illinois
Where Illinois roles are concentrated, by current openings.
Quantitative Research Analyst Job Market in Illinois
A snapshot from current Illinois openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Technology & Software
What Illinois Employers Look For
The qualifications that appear most often in quantitative research analyst jobs across Illinois.
- Bachelor's or advanced degree in mathematics, statistics, financial engineering, or a related quantitative field
- Proficiency in Python, R, or MATLAB for statistical modeling and data analysis
- Experience building and validating quantitative models in finance, trading, or risk management
- Strong command of probability theory, stochastic calculus, or econometric methods
- Familiarity with SQL and large-scale financial datasets or market data systems
- Effective written and verbal communication skills for presenting model findings to stakeholders
Quantitative Research Analyst Jobs in Illinois: Frequently Asked Questions
How do you become a quantitative research analyst in Illinois?
Most Illinois employers require at least a bachelor's degree in a quantitative discipline such as mathematics, statistics, physics, computer science, or financial engineering, with many research roles at Chicago-area firms preferring a master's or doctoral degree. Illinois does not issue a state license for this role. Candidates strengthen their profile through the CFA credential, the Financial Risk Manager designation offered by GARP, or demonstrated research experience through published work, internships at Chicago trading firms, or academic research projects.
How much do quantitative research analysts make in Illinois?
Quantitative research analysts in Illinois earn a median of about $81,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $50,240 for the lowest 10% to over $147,230 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire quantitative research analysts in Illinois?
Employers hiring quantitative research analysts in Illinois right now include Chicago Trading Company, IMC Financial Markets, and SentiLink, based on current listings on Migrate Mate as of August 2026. Chicago's deep concentration of proprietary trading firms, asset managers, and financial technology companies makes Illinois one of the most consistent states for quantitative research hiring throughout the year.
Which Illinois cities have the most quantitative research analyst jobs?
Chicago account for the largest share of quantitative research analyst openings in Illinois. Chicago drives the overwhelming majority of demand, anchored by its global derivatives markets and the concentration of hedge funds, proprietary trading firms, and financial technology companies headquartered downtown and along the North Michigan Avenue corridor, while Evanston and surrounding suburbs see additional openings tied to Northwestern University's financial research partnerships and mid-size asset managers.
Are there remote quantitative research analyst jobs in Illinois?
Yes, and more than most fields. About 71% of quantitative research analyst openings tied to Illinois are remote or hybrid as of August 2026, reflecting the desk-based and model-driven nature of the work. Research-focused and strategy roles tend to offer the most remote flexibility, while positions requiring close collaboration with trading desks or real-time risk teams are more likely to require on-site presence in Chicago.
How can I get hired as a quantitative research analyst in Illinois with little or no experience?
The most realistic entry path is a quantitative internship or rotational program at a Chicago-area firm during or immediately after graduate school, as firms like CME Group, Morningstar, and several proprietary trading houses run structured programs for candidates without full-time experience. Lateral moves from data analyst, actuarial analyst, or financial analyst roles provide a credible bridge. Building a portfolio of independent modeling projects in Python or R and earning the CFA Level I designation signals readiness to Illinois hiring managers evaluating candidates with limited professional history.
Where can I find and apply to quantitative research analyst jobs in Illinois?
You can find and apply to quantitative research analyst jobs in Illinois on Migrate Mate, which lists current Illinois openings across Chicago and the broader state. Find roles that fit your background and apply directly to the employers posting them.
See All 10 Quantitative Research Analyst Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
Find Jobs