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Python Quantitative Algorithmic Trading Jobs in Chicago, IL

Strong analytical, quantitative, and math skills * Experience with Python required * Ability to ... trading desk Benefits Eagle Seven offers a competitive and comprehensive benefits package to all ...

Strong analytical, quantitative, and math skills * Experience with Python required * Ability to ... trading desk Benefits Eagle Seven offers a competitive and comprehensive benefits package to all ...

Career Description Simplex is looking for analytical and creative individuals to join our trading ... Proficiency with Python and/or R for research, data analysis, and statistical modeling * Experience ...

Manage pricing, positioning, and algorithmic trading activity across a range of options market ... Strong python programming skills, familiarity with AI agents a plus Why Edgehog: * Small team ...

... trading experience encompassing algorithmic trading and a strong knowledge of options theory ... Python, C++, Java, VBA, Matlab, or Ruby. * The ability to work and solve problems as part of a team ...

Quantitative Trader

Chicago, IL · On-site

$150K - $200K/yr

... algorithmic trading strategies deployed on electronic trading venues around the world. During an ... Programming experience is required (Python, SQL, Java or C++ are a plus). * The ability to ...

... algorithmic trading strategies deployed on electronic trading venues around the world. During an ... Programming experience is required (Python, SQL, Java or C++ are a plus). * The ability to ...

Algorithmic Trader

Chicago, IL · On-site

$150K - $200K/yr

People, Process, Trading Edge, and Technology. Simplex is an in-office organization, helping to ... Proficiency with Python and/or R for research, data analysis, and statistical modeling * Experience ...

Junior Algorithmic Trader

Chicago, IL

$69K - $89K/yr

Description Our Algorithmic Traders use their expert understanding of the financial markets and ... Python) * Build and maintain trading quantitative model tools and analytics * Develop, code ...

Quantitative Trader (Options)

Chicago, IL · On-site

$150K - $200K/yr

... trading experience encompassing algorithmic trading and a strong knowledge of options theory ... Python, C++, Java, VBA, Matlab, or Ruby. * The ability to work and solve problems as part of a team ...

... Python, C++). Responsibilities * Work with Junior and Senior Algorithmic Traders to assist and ... Build and maintain trading quantitative model tools and analytics * Learn and master programming ...

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Python Quantitative Algorithmic Trading information

See Chicago, IL salary details

$101K

$174.8K

$267.3K

How much do python quantitative algorithmic trading jobs pay per year?

As of Aug 11, 2026, the average yearly pay for python quantitative algorithmic trading 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 the difference between Python Quantitative Algorithmic Trading vs Python Quantitative Trading Analyst?

AspectPython Quantitative Algorithmic TradingPython Quantitative Trading Analyst
CredentialsDegree in Computer Science, Finance, or related fields; coding certificationsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, coding, backtesting strategiesAnalyzing market data, supporting trading strategies, reporting
Industry UsageFinancial firms, hedge funds, proprietary trading firmsAsset management firms, trading desks, financial institutions

Python Quantitative Algorithmic Traders focus on designing and implementing automated trading algorithms using programming skills, while Python Quantitative Trading Analysts analyze data and support trading strategies without necessarily coding the algorithms themselves. Both roles require strong quantitative skills and familiarity with Python, but their daily tasks and responsibilities differ significantly.

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

To thrive as a Python Quantitative Algorithmic Trader, you need strong quantitative analysis, programming expertise (especially in Python), and a solid background in mathematics, statistics, or finance, often supported by a relevant degree. Familiarity with financial data platforms, algorithmic trading systems, and libraries such as pandas, NumPy, and scikit-learn, as well as experience with backtesting frameworks, is essential. Critical thinking, attention to detail, and effective communication help you interpret data, manage risk, and collaborate with team members. These skills ensure effective strategy development, implementation, and adaptation in fast-moving financial markets.

What are some common challenges faced by Python quantitative algorithmic traders, and how can job seekers prepare to overcome them?

Python quantitative algorithmic traders often face challenges such as rapidly changing market conditions, ensuring code efficiency for low-latency execution, and maintaining data integrity across large datasets. Additionally, traders must continuously backtest strategies to avoid overfitting and adapt to evolving regulatory requirements. To prepare, job seekers should strengthen their coding skills with a focus on performance optimization, familiarize themselves with financial data handling, and stay current with industry best practices in both technology and trading strategy development.

What is Python quantitative algorithmic trading?

Python Quantitative Algorithmic Trading refers to the use of Python programming to develop, test, and implement mathematical models and automated strategies for trading financial instruments. Professionals in this field use quantitative analysis, statistical techniques, and historical data to create algorithms that can execute trades on financial markets without human intervention. Python is widely favored due to its robust libraries, ease of use, and strong community support, making it ideal for handling large datasets and rapid prototyping of trading strategies.
What are popular job titles related to Python Quantitative Algorithmic Trading jobs in Chicago, IL? For Python Quantitative Algorithmic Trading jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Python Quantitative Algorithmic Trading jobs in Chicago, IL look for? The top searched job categories for Python Quantitative Algorithmic Trading jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Python Quantitative Algorithmic Trading jobs? Cities near Chicago, IL with the most Python Quantitative Algorithmic Trading job openings:
Infographic showing various Python Quantitative Algorithmic Trading job openings in Chicago, IL as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, and 7% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $174,845 per year, or $84.1 per hour.

Quantitative Trading Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 18 days ago


Job description

The internship at Dime Line is a 10-week opportunity with our team of quants, data scientists and traders, available all seasons of the year.

Dime Line Trading develops algorithms to trade all major US sports. Dime Line was founded in 2020 by veterans of the financial trading and sports betting industries, who started their careers in the sports gambling space before entering the financial industry, where they individually built successful trading teams at leading firms.

WHAT YOU'LL DO:
You will have the opportunity to work with our team while receiving feedback and mentorship from our tight-knit, collaborative employees in various roles. This is an opportunity to get your feet wet within the trading industry while utilizing algorithmic, statistical, and engineering concepts applied toward the sports betting industry. There are a number of different types of opportunities within Dime Line spanning quantitative research, algorithmic trading models, live trading, and data science. Interns will have the opportunity to work within multiple fields across multiple sports. We retain a startup culture, which means that interns will be working on production projects alongside the rest of the team.

SKILLS YOU'LL NEED:
Ability to work in a fast-paced environment and handle multiple demands at once
Interest in building solutions, solving problems, and understanding how things work
Interest in sports, sports analytics / sabermetrics - please let us know about your interest or work in sports analytics!

Hands-on experience and a high level of proficiency in one or more of the following:
- Statistical modeling, especially predictive modeling in Python/R
- Python development on Linux platform
- Building algorithmic trading models in financial markets, prediction markets or similar
- Quantitative sports gambling or daily fantasy sports

It's great to see:
- Past internship or job experience in a trading, quantitative or engineering role
- Advanced coursework in statistics, optimization, operations research, and computer science