Quantitative Researcher

Storm2; Illinois; Remote; USD 180,000 - 220,000; Full time

Job summary

A leading proprietary trading firm is seeking a Quantitative Researcher for its options trading team. This full-time remote position offers a competitive salary of $180K alongside a bonus, employer-paid health benefits, and a modern work culture focused on innovation.

Benefits

100% Employer-Paid Medical, Dental, Life & Disability

Parental & Family Leave

Tuition & Certificate Reimbursement

Transit/Bike Stipends

Sabbaticals at 10 & 20 years

Remote work flexibility

Qualifications

• 2+ years of relevant experience in options trading or alpha signal research.
• Strong Python programming skills; C++ is a plus.
• Deep understanding of options pricing and volatility modeling.

Responsibilities

• Conduct alpha research and develop profitable options trading strategies.
• Integrate new signals into production trading systems.
• Maintain Python-based data science tools and research infrastructure.

Skills

Options pricing

Volatility modeling

Probability theory

Python

C++

Machine learning

Statistical modeling

Distributed computing

Linux

Communication

Job description

Quantitative Researcher – Options Trading | $180K + Bonus | Remote (US)

A top-performing proprietary trading firm is actively seeking a Quantitative Researcher to join its high-impact options trading team.

This is a full-time role where you'll help push the boundaries of options alpha research, develop production-grade tools and models, and work closely with traders, engineers, and other quants across the globe.

What You’ll Do:

• Conduct alpha research and translate insights into profitable options trading strategies
• Integrate new signals and models into production trading systems
• Develop and maintain high-quality Python-based data science tools and research infrastructure
• Collaborate cross-functionally in a fast-paced, test-driven environment

What We’re Looking For:

• 2+ years of relevant experience in options trading or alpha signal research
• Deep understanding of options pricing, volatility modeling, and probability theory
• Strong Python programming skills (C++ is a plus)
• Background in time-series machine learning and statistical modeling
• Experience with distributed computing and Linux
• Passion for clean code, reproducible research, and CI/CD best practices
• Excellent communication skills and ability to work across global teams

Compensation & Perks:

Base Salary: $180,000

Annual Discretionary Bonus

???? 100% Employer-Paid Medical, Dental, Life & Disability

Parental & Family Leave

Tuition & Certificate Reimbursement

Transit/Bike Stipends

Sabbaticals at 10 & 20 years

Remote work flexibility + amazing team culture

If you're ready to take your quant career to the next level and work on real-time trading infrastructure with massive impact, apply directly – all conversations are confidential.