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Quantitative Developer Python Jobs in Chicago, IL

IMC

Quantitative Developer - Python

Chicago, IL

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

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 ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

IMC B.V.

Quantitative Developer - Python

Chicago, IL · On-site

$200 - $225/hr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

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 ... Strong production experience in Python, including data analysis workflows (pandas, polars, or ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on ... Experience coding in C++ and Python * Strong organizational and software architecture skills with a ...

3Red Partners

Quantitative Developer

Chicago, IL · On-site

$150K - $250K/yr

The Quantitative Developer will have the opportunity to work in one of our offices focusing on ... Experience coding in C++ and Python * Strong organizational and software architecture skills with a ...

Point72

Quantitative Developer

Chicago, IL · On-site

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment ...

Point72

Quantitative Developer

Chicago, IL · On-site

Quantitative Developer for a PM team focused on systematic credit and related asset classes. This ... Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment ...

Dime Line Trading

Quantitative Developer

Chicago, IL · On-site

Implement models in Python * Enhance and improve the trading system, working on operational tasks ... Strong programming skills * Any amount of experience conducting research on datasets and designing ...

IMC B.V.

Graduate Quantitative Trader

Chicago, IL · On-site

$225 - $275/hr

As a Quant Trader, you will be part of a highly motivated team facing the daily challenge of ... Experience in a programming language (Python, Matlab or R) is a plus * Interest in Financial ...

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Quantitative Developer Python information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do quantitative developer python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for quantitative developer python in Chicago, IL is $174,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,600.00 and $205,000.00 per year, depending on experience, location, and employer.

What is a quantitative developer Python?

A Quantitative Developer Python is a professional who designs, develops, and maintains software tools and models using Python to support quantitative analysis in finance and investment. They work closely with quantitative analysts (quants) to implement trading algorithms, risk models, and data analysis pipelines. Their expertise in both programming and financial mathematics allows them to translate complex quantitative strategies into efficient and scalable code, often integrating with large datasets and real-time trading systems.

What are the key skills and qualifications needed to thrive as a quantitative developer Python?

To thrive as a Quantitative Developer Python, you need a strong background in mathematics, statistics, and programming—particularly with Python—and often a degree in computer science, engineering, or a related field. Expertise with libraries such as NumPy, pandas, and SciPy, as well as experience using version control systems like Git and familiarity with financial data platforms, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help differentiate top candidates in collaborative, high-stakes environments. These skills and qualities are vital for developing robust, efficient quantitative models that drive data-driven decision-making in finance or research settings.

What are the typical collaboration dynamics for a quantitative developer Python within a financial firm?

As a Quantitative Developer Python, you will frequently collaborate with quantitative analysts, traders, and other developers to design, implement, and optimize trading algorithms and risk models. Daily interactions often involve gathering requirements from quants, coding solutions, and integrating models into production trading systems. Effective communication is crucial, as you'll need to translate complex mathematical concepts into efficient, maintainable Python code while ensuring alignment with both business objectives and technical standards. This collaborative environment fosters continuous learning and provides opportunities to contribute to impactful projects.

What is the difference between Quantitative Developer Python vs Quantitative Analyst Python?

AspectQuantitative Developer PythonQuantitative Analyst Python
Primary FocusDeveloping trading algorithms, building infrastructure, and implementing modelsAnalyzing data, developing strategies, and assessing risk
Skills & CredentialsProgramming, software engineering, quantitative modelingStatistical analysis, financial modeling, programming
Work EnvironmentFast-paced trading firms, hedge funds, investment banksResearch departments, asset management firms, hedge funds
Tools & TechnologiesPython, C++, SQL, trading platformsPython, R, Excel, statistical software

While both roles require strong Python skills and quantitative knowledge, Quantitative Developers focus on building and maintaining trading systems and infrastructure, whereas Quantitative Analysts primarily analyze data and develop trading strategies. The developer role is more technical and engineering-oriented, while the analyst role emphasizes research and statistical analysis.

What are popular job titles related to Quantitative Developer Python jobs in Chicago, IL?

For Quantitative Developer Python jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Quantitative Developer Python jobs in Chicago, IL look for?

The top searched job categories for Quantitative Developer Python jobs in Chicago, IL are:

Quantitative Developer Python jobs near you
Infographic showing various Quantitative Developer Python job openings in Chicago, IL as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $174,845 per year, or $84.1 per hour.

Quantitative Developer - Python

IMC

Chicago, IL

Full-time

Re-posted 22 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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