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Data Science Trading Jobs in Illinois (NOW HIRING)

Anson McCade

Index Trader

Chicago, IL · On-site

... experience trading (3+ years) with a proven track record of success managing an index options market making book • BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math ...

Jump Trading

Software Engineer | GUI

Chicago, IL · On-site

$200K - $250K/yr

From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our ...

P2P

Software Engineer | Market Data Systems

Chicago, IL · On-site

$200 - $250/hr

... data science and research, to deliver the infrastructure and tools that drive our trading and ... business needs. What You'll Do: In this role, you will design, architect, and build ...

DRW

Data Engineer, Cumberland/FICCO

Chicago, IL · On-site

$150K - $200K/yr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated ... Foundational understanding of the Python data science ecosystem * Strong understanding of option ...

Jump Trading

UI Developer

Chicago, IL

$51.50 - $67/hr

From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, sophisticated front-end technologies, data science and research, to deliver the ...

Trading Interview

Experienced Options Trader

Chicago, IL · On-site

$131 - $160/hr

... trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions ... Bachelor's Degreein Engineering, Economics, Statistics, Mathematics, Computer Science, Actuarial ...

Jump Trading

UI Developer

Chicago, IL · On-site

$200K - $250K/yr

From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, sophisticated front-end technologies, data science and research, to deliver the ...

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All JobsData Science Trading JobsData Science Trading Jobs in Illinois

Data Science Trading information

See Illinois salary details

$21.1K

$101.6K

$185.1K

How much do data science trading jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science trading in Illinois is $101,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,281.00 and $139,519.00 per year, depending on experience, location, and employer.

What is a data science trading?

A Data Science Trading job involves using data analysis, machine learning, and statistical modeling to develop trading strategies and optimize financial decision-making. Professionals in this field work with large datasets, build predictive models, and implement algorithms to identify market patterns and trading opportunities. They collaborate with traders and quantitative analysts to enhance trading performance and manage risk. Strong programming skills in Python, R, or SQL, along with expertise in finance and mathematics, are essential for success in this role.

What does a data science trading do?

Data Science Trading professionals typically analyze large financial datasets, develop algorithmic trading models, and monitor the performance of existing strategies. A typical day might include collaborating with traders and engineers, implementing new statistical techniques or machine learning algorithms, and backtesting strategies against historical market data. Routine tasks also involve writing code to automate processes, conducting risk assessments, and presenting insights to stakeholders. This role is highly collaborative and requires adapting to rapidly changing market conditions, making each day dynamic and intellectually challenging.

What are the key skills and qualifications needed to thrive in data science trading?

To thrive in Data Science Trading, you need strong quantitative analysis, statistical modeling, and programming skills, usually supported by a degree in a quantitative field like mathematics, finance, or computer science. Proficiency in Python, R, SQL, and experience with machine learning frameworks and trading platforms such as Bloomberg or QuantConnect are commonly required. Excellent problem-solving, collaboration, and the ability to communicate complex concepts clearly are standout soft skills. These capabilities are crucial for building, optimizing, and explaining data-driven trading strategies in fast-paced financial environments.

Is data science good for trading?

Data science is valuable in trading roles for analyzing large datasets, developing predictive models, and automating decision-making processes. Skills in programming, statistics, and machine learning are essential, and professionals often use tools like Python, R, and SQL to support trading strategies.

What are the most commonly searched types of Data Science Trading jobs in Illinois?

The most popular types of Data Science Trading jobs in Illinois are:

What are popular job titles related to Data Science Trading jobs in Illinois?

For Data Science Trading jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Science Trading jobs in Illinois look for?

The top searched job categories for Data Science Trading jobs in Illinois are:

Data Science Trading jobs near you
Infographic showing various Data Science Trading job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $101,614 per year, or $48.9 per hour.

Index Trader

Anson McCade

Chicago, IL • On-site

Full-time

Re-posted 25 days ago

Job description

$200,000 USD
Discretionary Bonus
Onsite WORKING
Location: Chicago, Illinois - United States Type: Permanent
Our client is a proprietary trading firm specializing in electronic options market making. They take a technology-driven approach, designing and operating automated, scalable systems to provide liquidity across markets.
Their team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. They emphasize data-driven decision making, rigorous problem solving, and continuous improvement to navigate complex and evolving markets.
They operate in a highly collaborative environment where ideas can move quickly from concept to implementation, and where individuals are empowered to take ownership and contribute directly to the firm's growth.
What you'll do:
• Proactively manage pricing and positions for the SPX Index options market making desk
• Design and optimize systematic options trading strategies using quantitative research and machine learning techniques
• Build and refine algorithmic trading models from ideation through production deployment
• Analyze market microstructure and execution quality to generate alpha signals and improve strategy performance
• Collaborate with quant researchers and engineers to develop new models using our proprietary datasets
• Manage real-time risk across a diversified portfolio of options positions
Qualifications and skills:
• Previous experience trading (3+ years) with a proven track record of success managing an index options market making book
• BA/BS/MS/PhD degree in Computer Science, Data Science, Engineering, Math, Economics, Finance, Physics, or related field
• Exceptional attention to detail
• Excellent quantitative and analytical skills
• Ability to take on many responsibilities quickly with a high degree of operational excellence
Python programming skills are a plus, but not required

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