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Quantitative Software Engineer Jobs in Illinois (NOW HIRING)

IMC

Quantitative Developer - Python

Chicago, IL

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

Edgehog Trading

Quantitative Options Trader

Chicago, IL · On-site

Our team spans trading, engineering, and business operations, working together to build and support ... Collaborate with quant researchers and engineers to develop new models using our proprietary ...

Next Step Systems

C++ Software Engineer

Chicago, IL · On-site

Successful applicants for this position will be working closely with traders, quants and other software engineers to implement and extend the different parts of the trading infrastructure including ...

TransMarket Group

Senior Software Engineer

Chicago, IL

$126K - $166K/yr

Bachelor's degree in a quantitative or technical field, plus five years of experience in software engineering, or a Master's degree in a quantitative or technical field, plus three years of ...

IMC

Software Engineer - Risk Technology

Chicago, IL

Collaborate with engineering, trading, quantitative research, operations, and data teams across the ... software engineering experience * Strong development skills in Java and/or Python * Experience ...

IMC

Software Engineer - Risk Technology

Chicago, IL · On-site

$175K - $225K/yr

Collaborate with engineering, trading, quantitative research, operations, and data teams across the ... software engineering experience * Strong development skills in Java and/or Python * Experience ...

IMC

Software Engineer - Risk Technology

Chicago, IL · On-site

$175K - $225K/yr

Collaborate with engineering, trading, quantitative research, operations, and data teams across the ... software engineering experience * Strong development skills in Java and/or Python * Experience ...

IMC

Graduate Software Engineer

Chicago, IL · On-site

$200K/yr

Collaborate with Traders, Quant Researchers and other Engineers both locally and globally * Develop expertise within the entire software development lifecycle * Learn new technologies and programming ...

IMC

Graduate Software Engineer

Chicago, IL · On-site

$200K/yr

Collaborate with Traders, Quant Researchers and other Engineers both locally and globally * Develop expertise within the entire software development lifecycle * Learn new technologies and programming ...

Wolverine

C# Software Engineer

Chicago, IL · On-site

$80K - $120K/yr

C# Software Engineer Department: Technology Employment Type: Full Time Location: Chicago, IL ... Communicate with traders, risk managers, and quantitative analysts to identify issues and develop ...

IMC

Software Engineer, Early Career

Chicago, IL · On-site

$200K/yr

Collaborate with Traders, Quant Researchers and other Engineers both locally and globally * Develop expertise within the entire software development lifecycle * Learn new technologies and programming ...

IMC

Software Engineer, Early Career

Chicago, IL · On-site

$200K/yr

Collaborate with Traders, Quant Researchers and other Engineers both locally and globally * Develop expertise within the entire software development lifecycle * Learn new technologies and programming ...

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Showing results 1-20

All JobsQuantitative Software Engineer JobsQuantitative Software Engineer Jobs in Illinois

Quantitative Software Engineer information

See Illinois salary details

$10.7K

$125.7K

$191.9K

How much do quantitative software engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for quantitative software engineer in Illinois is $125,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Software Engineer vs Quantitative Analyst?

AspectQuantitative Software EngineerQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related field; coding skillsDegree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDevelops trading algorithms, software tools, and infrastructureBuilds financial models, analyzes market data, and advises on investment strategies
Industry UsageTechnology-driven financial firms, hedge funds, trading firmsInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Quantitative Software Engineers focus on developing software systems and tools used in trading and risk management, whereas Quantitative Analysts primarily analyze data and develop models to inform investment decisions. The roles often collaborate but differ in technical focus and daily tasks.

What are Quantitative Software Engineers?

Quantitative Software Engineers are professionals who design, develop, and maintain software systems for quantitative analysis, often in finance, trading, or research environments. They combine expertise in mathematics, statistics, and computer science to build models and algorithms that analyze large data sets, optimize trading strategies, or automate decision-making processes. Their work involves close collaboration with quantitative analysts (quants) and requires strong programming skills, typically in languages like Python, C++, or Java. The role is key in ensuring that quantitative models are efficiently implemented and scalable for real-world applications.

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

To thrive as a Quantitative Software Engineer, you need a strong background in mathematics, statistics, computer science, and programming languages such as Python, C++, or Java, typically supported by a relevant degree. Proficiency with data analysis tools, quantitative libraries, and version control systems like Git is essential, and knowledge of financial modeling or algorithmic trading platforms is often required. Strong problem-solving abilities, attention to detail, and effective teamwork distinguish top performers in this field. These skills are crucial for building robust, efficient systems that support data-driven decision-making in high-stakes environments.

What Does a Quantitative Software Engineer Do?

As a quantitative software engineer, your responsibilities are to design and build tools to develop a platform for clients for the purpose of enhancing various processes they have. To achieve this, you apply advanced analytics and concepts to develop system solutions. Your duties also include researching the computer-software development lifecycle and modeling new products to supplement the software. You assist clients with the quality and timeliness of research, analysis, and development while focusing on best practices. In this role, you typically work with your team and the client to develop, validate, and implement product and software solutions.

How does a Quantitative Software Engineer typically collaborate with researchers and traders in a financial firm?

Quantitative Software Engineers work closely with quantitative researchers and traders to design, implement, and optimize trading algorithms and analytics tools. They often translate research prototypes into robust, production-ready code, ensuring that strategies can be executed efficiently and reliably in real market conditions. Regular collaboration involves participating in cross-functional meetings, gathering requirements, and providing technical feedback to improve both performance and usability of systems. This collaborative environment helps ensure that trading strategies are not only innovative but also technically sound and scalable.
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What job categories do people searching Quantitative Software Engineer jobs in Illinois look for? The top searched job categories for Quantitative Software Engineer jobs in Illinois are:
What are popular job titles related to Quantitative Software Engineer jobs in IL? For Quantitative Software Engineer jobs in IL, the most frequently searched job titles are:
Quantitative Software Engineer jobs near you
Infographic showing various Quantitative Software Engineer job openings in Illinois as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,650 per year, or $60.4 per hour.
Quantitative Developer - Python

Quantitative Developer - Python

IMC

Chicago, IL

Other

Posted 27 days ago

Job description

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.

Your Core Responsibilities

  • Build and maintain systems that span research and production, enabling rapid iteration from idea to production
  • Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
  • Define, compute, and curate features across instruments, regimes, and time horizons
  • Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
  • Contribute to strategy optimization, balancing expected performance with real-world constraints
  • Debug issues end-to-end across research and execution

Your Skills and Experience

  • 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
  • Strong production experience in Python, including data analysis workflows (pandas, polars, or similar)
  • Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
  • Solid understanding of ML concepts as applied to systematic strategies, from research through production
  • Experience with low-latency systems is valuable
  • Ability to work fluidly across research and engineering teams

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