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Full time
Technology
Junior Quantitative Trader
Anson McCadeChicago, IL🇺🇸United StatesPosted 11 Jul 2026
Why This Role Stands Out
This exciting role offers a competitive $175,000 salary and the opportunity to develop cutting-edge quantitative trading strategies within a collaborative, technology-driven proprietary trading firm. You'll thrive here if you possess strong quantitative skills and a passion for data-driven problem-solving, contributing directly to a highly respected company's success. Apply now to launch your quantitative trading career in Chicago!
Quick Overview
Salary
$175k/yr
Work Type
On Site
Schedule
Full Time
Level
Junior
Job Description
$175,000 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:
• 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 (1-2 years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systems
• 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
• Strong python programming skills
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:
• 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 (1-2 years) with a proven track record of success managing an options market making book and maintaining/improving automated trading systems
• 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
• Strong python programming skills
Skills
Machine Learning
Python
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