1

Quant Jobs in Chicago, IL (NOW HIRING)

Quant

Chicago, IL ยท On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and optimizing current and future trading opportunities. We are seeking a candidate that is looking for an ...

Quant

Chicago, IL ยท On-site

$150K - $250K/yr

The Quant will have the opportunity to work in one of our offices focusing on expanding and optimizing current and future trading opportunities. We are seeking a candidate that is looking for an ...

Quantitative Trading Intern

Chicago, IL ยท On-site

$175 - $275/hr

What You'll Do Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily ...

AI Quantitative Strategist

Chicago, IL ยท On-site

$54 - $66/hr

Quant Researcher Position Overview Research and implement strategies within the firm's automated trading framework. Analyze large data sets using advanced statistical methods to identify trading ...

Quant Strategist

Chicago, IL ยท On-site

$145K/yr

Akuna's Quantitative Trading and Research team is looking to add Quant Strategists to a team of mathematicians, statisticians and technologists. The successful candidate will play a crucial role in ...

Quant Strategist

Chicago, IL ยท On-site

$145K/yr

Akuna's Quantitative Trading and Research team is looking to add Quant Strategists to a team of mathematicians, statisticians and technologists. The successful candidate will play a crucial role in ...

next page

Showing results 1-20

Quant information

See Chicago, IL salary details

$101K

$175K

$267.5K

How much do quant jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quant in Chicago, IL is $174,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,700.00 and $205,200.00 per year, depending on experience, location, and employer.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Are quant jobs high paying?

Quant jobs, which involve quantitative analysis and modeling, are generally high paying within the finance industry due to the specialized skills required, such as programming, mathematics, and data analysis. Salaries can vary based on experience, location, and the firm, but they are often among the top-paying roles in finance and technology sectors.

What are the jobs in quant?

Quant jobs typically involve developing and implementing mathematical models to analyze financial data, manage risk, and inform trading strategies. Common roles include quantitative analyst, quantitative researcher, quantitative developer, and risk manager, often requiring strong skills in programming, statistics, and finance. These positions are prevalent in investment banks, hedge funds, and asset management firms.

What are the most commonly searched types of Quant jobs in Chicago, IL?

The most popular types of Quant jobs in Chicago, IL are:

Infographic showing various Quant job openings in Chicago, IL as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $174,983 per year, or $84.1 per hour.

Quantitative Researcher (ETF)

Quant Blueprint LLC

Chicago, IL โ€ข On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Old Mission is a global proprietary trading firm that leverages stateโ€‘ofโ€‘theโ€‘art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturallyโ€‘curious individuals who thrive in a team environment and constantly strive for improvement.

Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm's growth.

About the Position

We are currently recruiting a Quantitative Researcher to join our Chicago office. This Quantitative Researcher will be working directly with our international ETF trading group to review and develop pricing models, analyze and evaluate trades, and participate in idea generation to improve current models and algorithms. This Quantitative Researcher could potentially play a major role in growing the quant team and be expected to have an entrepreneurial mindset.

Responsibilities
  • Investigate existing equity pricing models and propose improvements.
  • Calibrate new models for unique market environments.
  • Reverse engineer how the rest of the world behaves in different market environments.
  • Develop databases of information, utilizing our expansive existing resources, to assist with new ideas and research.
  • Explore trading ideas by analyzing market data and market microstructure for patterns.
  • Participate in the ideaโ€‘generation process with other traders and developers.
Required Skills
  • An advanced degree in a quantitative field such as computer science, engineering, mathematics, statistics, or one of the hard sciences.
  • Demonstrated expertise in statistical analysis. Ideally 5+ years of experience within quantitative research.
  • Programming skills in Python is a must and experience with VBA, R, Matlab, Java would be a good complement.
  • Exceptional communication both written and verbal and have the ability to handle multiple tasks in a time sensitive, fast paced, collaborative, collegial environment.
  • The ability to work and solve problems as part of a team, often in a highโ€‘pressure environment.
  • Successful candidates will have a passion for the financial market, working with large amounts of data and are strategic thinkers. Must be organized and detailโ€‘oriented and have the ability to manage multiple work streams.
  • Proven trustworthiness and performance under the highest ethical standards.
Benefits and Perks
  • Competitive salary with discretionary annual bonus.
  • Fully paid Medical, Dental, Vision, Disability, and Life Insurance.
  • Fully stocked kitchen; free breakfast and lunch every day onโ€‘site.
  • Tuition Reimbursement Program.
  • 401(k) with employer match.
  • Flexible Spending Plan.
  • Commuter Benefit Program.
#J-18808-Ljbffr