Quantitative Researcher, ETF Trading & Pricing Models

Trading Interview; Chicago (IL); On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

On-site meals (breakfast & lunch)

Tuition Reimbursement

401(k) with employer match

Paid vacation, sick and parental leave

Commuter benefits

Job summary

Old Mission Capital is seeking a Quantitative Researcher for its ETF trading team in Chicago. You will review and develop pricing models, analyze trades, and contribute to new ideas to improve algorithms.

A strong quantitative background, Python proficiency, and experience with large datasets are essential. The role emphasizes collaboration with international and domestic teams, an entrepreneurial mindset, and the ability to work in a fast-paced, high-stakes environment while supporting the

Qualifications

• Advanced degree in quantitative field such as CS, engineering, math, statistics, or hard sciences.
• Demonstrated expertise in statistical analysis with 5+ years of related experience.
• Strong programming skills in Python; familiarity with VBA, R, Matlab, or Java is a plus.
• Excellent written and verbal communication in a fast-paced team environment.
• Ability to work across multiple tasks with strong problem-solving in financial markets.

Responsibilities

• Review and develop pricing models for ETF and equities trading.
• Analyze trades and improve models and algorithms with research insights.
• Collaborate with traders and developers to generate ideas and test hypotheses.
• Investigate pricing models across equities, commodities, and FX; adapt to market regimes.
• Build databases and work with large datasets to support research initiatives.

Skills

Quantitative research

Python

Statistical analysis

Team collaboration

Communication

VBA

R

Matlab

Java

Financial markets

Education

Master’s or PhD in a quantitative field

Tools

Python

VBA

R

Matlab

Java

Job description

Old Mission Capital is seeking a Quantitative Researcher for its ETF trading team in Chicago. You will review and develop pricing models, analyze trades, and contribute to new ideas to improve algorithms.

A strong quantitative background, Python proficiency, and experience with large datasets are essential. The role emphasizes collaboration with international and domestic teams, an entrepreneurial mindset, and the ability to work in a fast-paced, high-stakes environment while supporting the