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Quantitative Analytics Jobs in Illinois (NOW HIRING)

Quantitative Trading Analyst

Chicago, IL · On-site

$100K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct ad-hoc quantitative analyses within the domains of settings optimization, market microstructure research, key performance metric monitoring, and options pricing theory. * Bachelor's degree in ...

Quantitative Trading Analyst

Chicago, IL · On-site

$100 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct ad-hoc quantitative analyses within the domains of settings optimization, market microstructure research, key performance metric monitoring, and options pricing theory. What We're Looking For

New

Quantitative Trading Analyst

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct ad-hoc quantitative analyses within the domains of settings optimization, market microstructure research, key performance metric monitoring, and options pricing theory. What We're Looking For

Sr. Quantitative Finance Analyst

Chicago, IL · On-site

$88K - $109K/yr

  • PTO

This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new ...

Quantitative Researcher (Fixed Income)

Chicago, IL

$175K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This Quantitative Researcher will be familiar with building and improving the firm's risk and ... Perform exploratory data analysis on various market datasets, including bond data, exchange quote ...

Showing results 21-40

Quantitative Analytics information

See Illinois salary details

$54.8K

$129.7K

$232.6K

How much do quantitative analytics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for quantitative analytics in Illinois is $129,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What is quantitative analytics?

Quantitative analytics is the practice of using mathematical models, statistical techniques, and computational tools to analyze data and make informed decisions, typically in finance, business, or risk management. Quantitative analysts, often called 'quants,' use these methods to develop trading strategies, assess risk, value financial instruments, and optimize investment portfolios. Their work combines expertise in mathematics, programming, and finance to solve complex problems and provide actionable insights for organizations.

What are some common challenges faced by professionals in quantitative analytics, and how can they be addressed?

Professionals in Quantitative Analytics often face challenges such as managing large and complex data sets, staying updated with rapidly evolving analytical tools, and effectively communicating technical results to non-technical stakeholders. Addressing these challenges involves continual learning, collaborating closely with IT and data engineering teams, and developing strong presentation skills to translate quantitative findings into actionable business insights. Embracing cross-functional teamwork and ongoing professional development can help quantitative analysts thrive in their roles.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and programming skills, typically supported by a degree in finance, mathematics, statistics, or a related field. Familiarity with technical tools such as Python, R, MATLAB, SQL, and financial modeling software is commonly required. Analytical thinking, attention to detail, and effective communication help distinguish top performers in this role. These skills and qualities are crucial for developing accurate financial models and providing actionable insights that drive data-informed decision-making.

What is the difference between Quantitative Analytics vs Data Analyst?

AspectQuantitative AnalyticsData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fields; often advanced certificationsBachelor's degree in Data Science, Statistics, or related fields; certifications like SQL or Excel skills
Work EnvironmentFinancial firms, investment banks, hedge funds, or tech companies focusing on complex data modelingBusiness, marketing, healthcare, or retail sectors analyzing data trends and reporting
Employer & Industry UsageUsed in finance, trading, risk management, and quantitative researchUsed across various industries for reporting, visualization, and basic data analysis

Quantitative Analysts focus on developing complex mathematical models to inform investment decisions and risk management, often requiring advanced degrees and specialized skills. Data Analysts typically handle data collection, cleaning, and basic analysis to generate reports and insights for business decisions. While both roles work with data, Quantitative Analytics involves more advanced statistical modeling and programming, primarily in finance and tech sectors, whereas Data Analysts focus on descriptive analytics across diverse industries.

What is a quantitative analytics analyst's salary?

A quantitative analytics analyst's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those in financial services may earn higher compensation, often supplemented with bonuses and benefits.

What is quantitative analytics salary?

The salary for a quantitative analyst typically ranges from $70,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those in financial hubs can earn higher, often exceeding $200,000 with bonuses and incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What are the most commonly searched types of Quantitative Analytics jobs in Illinois?

The most popular types of Quantitative Analytics jobs in Illinois are:

Infographic showing various Quantitative Analytics job openings in Illinois as of August 2026, with employment types broken down into 1% Internship, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $129,730 per year, or $62.4 per hour.

Quantitative Analyst - Expression of Interest

Eclipse Trading

Chicago, IL

Full-time

Re-posted 19 days ago


Job description

Quantitative Analyst (Chicago)

Eclipse Trading is a leading proprietary trading firm. Founded in 2007, we have over 110 employees across 4 office locations – Hong Kong (our HQ), Sydney, Shanghai and Chicago. Our trading expertise and strategies are deployed across several markets globally, focusing on various products including equity derivatives, delta one, ETFs, commodity derivatives, and cryptocurrency. Technology is inextricably linked to our trading strategies, creating an environment powered by intellectual curiosity, problem solving, and innovation.
We are looking for a talented individual to be part of a close-knit team based in our Chicago office that values innovation, creativity, and professional growth. This is an on-site role and this position is part of our global Quant and Integration team and will report to both the US Trading Team Lead and the Senior Trading Analyst of Quant and Integration. The successful candidate will get the opportunity to work in a collaborative environment where their contributions directly impact the success of the desk, as well as gain exposure to cutting-edge trading strategies and technologies in the volatility space.
Responsibilities and Duties

  • Perform quantitative analysis to improve existing trading strategies and develop new ones
  • Work with traders and quants to identify technical trading problems, conduct detailed research and deliver mathematical solutions
  • Build and maintain analytical tools and libraries

What you offer

Must have

  • Proven 2+ years of experience working on or with a mid-to-high frequency trading desk specializing in volatility trading in the US market
  • Expertise in options portfolio optimization and strategy back testing
  • Excellent proficiency in Python for scripting, data analysis, and model development
  • A relevant tertiary degree with a strong academic record, ideally in Mathematics, Physics, Computer Science, Financial Engineering, or a related quantitative field
  • A collaborative mindset with a desire to work in a small, close-knit team and contribute to the growth of the desk
  • Excellent command of spoken and written English, with the ability to communicate complex ideas clearly and effectively
  • Authorization to work in the United States

Desirable

  • Experience with relative value and/or dispersion based volatility strategies
  • Experience with short-dated options and modelling short-term realized volatility measures
  • Research experience in event-driven volatility pricing (e.g., earnings announcements, macroeconomic events, M&A activity)

What we offer

  • The opportunity to work in a collaborative environment where your contributions directly impact the success of the desk
  • A close-knit team that values innovation, creativity, and professional growth
  • Exposure to cutting-edge trading strategies and technologies in the volatility space
  • A flat management structure, where everyone's voice is valued
  • Work life balance within a multi-cultural environment

Eclipse Trading is an equal opportunity employer and we believe that diversity and inclusion are essential pillars of our success as a company. We are dedicated to embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential.

All information provided will be treated in strict confidence and used solely for recruitment purposes.

Due to the high number of responses that we receive, we are only able to respond to successful applicants.