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Quantitative Software Engineer Jobs in Illinois (NOW HIRING)

Scalp Trade LLC

Senior Quantitative Developer

Chicago, IL · On-site

$180K - $225K/yr

The ideal candidate understands both the underlying theory and the engineering required to build reliable, low-latency software. Working closely with traders and quantitative researchers, the ...

IMC Trading

Software Engineer, Early Career

Chicago, IL · On-site

... Quant Researchers and other Engineers both locally and globally • Develop expertise within the ... software development lifecycle • Learn new technologies and programming languages in a dynamic ...

Wolverine Worldwide

C# Software Engineer

Chicago, IL · On-site

$80K - $120K/yr

We are seeking a motivated, self-directed, and technically outstanding developers with a strong quantitative background to join our team of Software Engineers responsible for building systems that ...

Wolverine

C# Software Engineer

Chicago, IL

... team of Software Engineers responsible for building systems that support our options trading ... Communicate with traders, risk managers, and quantitative analysts to identify issues and develop ...

Old Mission

C++ Software Engineer

Chicago, IL · On-site

They are seeking C++ Software Engineers to build and optimize automated trading infrastructure and ... and Quants to develop the next generation of the firm's trading algorithms and strategies • ...

Old Mission

Python Software Engineer

Chicago, IL · On-site +1

$150K - $225K/yr

As a Software Engineer, you'll play a pivotal role on your team, taking ownership of cutting-edge ... Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ...

Old Mission

C++ Software Engineer

Chicago, IL · On-site

$175K - $300K/yr

... and Quants to develop the next generation of the firm's trading algorithms and strategies ... Our Software Engineers work on small collaborative teams and are a key component for our success.

Akuna Capital

Software Engineer - Data Engineering

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a Software Engineer for their Data Engineering team to design and maintain systems ... Quant, Technology & Business Operations teams throughout the firm to identify how data is produced ...

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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 Aug 12, 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 is a quantitative software engineer?

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.
More about Quantitative Software Engineer jobs
What are popular job titles related to Quantitative Software Engineer jobs in Illinois? For Quantitative Software Engineer jobs in Illinois, the most frequently searched job titles are:
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 August 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% 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.

Senior Quantitative Developer

Scalp Trade LLC

Chicago, IL • On-site

$180K - $225K/yr

Full-time

Posted 11 days ago

Job description

Position Overview

We are seeking an experienced developer with a strong understanding of options theory and derivatives pricing who can translate quantitative research into production trading systems. The ideal candidate understands both the underlying theory and the engineering required to build reliable, low-latency software. Working closely with traders and quantitative researchers, the candidate will transform theoretical pricing models into practical, production-ready implementations, making sound engineering decisions where theory and real-world constraints diverge. This role provides significant ownership over the architecture, design, and implementation of the firm's core pricing technology.



Key Responsibilities

  • Design and implement real-time theoretical pricing models for options

  • Design and implement numerical methods that balance theoretical accuracy with production performance

  • Improve pricing accuracy, computational efficiency, and performance under high-throughput market conditions

  • Work with traders and quantitative researchers to implement and refine theoretical pricing models

  • Participate in architecture design decisions related to scalability, latency, resiliency, and data integrity

  • Collaborate with engineering and trading teams to define technical requirements and deliver production-quality software



Required Qualifications

  • Strong understanding of options pricing theory and derivatives markets

  • Experience implementing quantitative pricing models in production software

  • Strong background in numerical methods, optimization, and computational mathematics

  • Extensive experience developing production trading systems in C++

  • Experience working with APIs, multithreaded systems, and low-latency applications

  • Strong analytical and problem-solving skills with the ability to understand complex software systems and quantitative models

  • Ability to work independently in a fast-moving development environment

  • Ability to balance quantitative rigor with practical engineering constraints when implementing production trading systems