ETF Quantitative Researcher - Trading Models & Insights

Old Mission; Illinois; On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

On-site meals

Tuition reimbursement

401(k) with employer match

Paid vacation/sick/ parental leaves

Commuter benefits

Flexible Spending Programs

Job summary

Old Mission, a global trading firm, is seeking a Quantitative Researcher to join our ETF trading team in Chicago. You will review and develop pricing models, analyze trades, and contribute ideas to improve models and algorithms.

Ideal candidates hold an advanced quantitative degree, have strong Python programming skills, and experience with data-driven research in fast-paced financial environments. Competitive salary, comprehensive benefits, and growth opportunities are offered.

Qualifications

• Advanced degree in quantitative field such as CS, engineering, math, statistics or hard sciences.
• Demonstrated expertise in statistical analysis; 5+ years in quantitative research preferred.
• Proficient in Python; knowledge of VBA, R, Matlab or Java is a plus.
• Excellent written and verbal communication; able to handle multiple tasks in a fast-paced team.
• Strong problem-solving ability; able to work under pressure and in collaboration.

Responsibilities

• Investigate existing pricing models for equities, commodities, and FX and propose improvements.
• Calibrate new models for diverse market environments.
• Reverse engineer global market behavior across environments.
• Develop information databases to support new ideas and research.
• Analyze market data and microstructure to explore trading ideas.
• Collaborate with traders and developers in idea generation.

Skills

Python

Statistical analysis

Team collaboration

Education

Advanced degree in quantitative field

Tools

VBA

R

Matlab

Java

Job description

Old Mission, a global trading firm, is seeking a Quantitative Researcher to join our ETF trading team in Chicago. You will review and develop pricing models, analyze trades, and contribute ideas to improve models and algorithms.

Ideal candidates hold an advanced quantitative degree, have strong Python programming skills, and experience with data-driven research in fast-paced financial environments. Competitive salary, comprehensive benefits, and growth opportunities are offered.