Quantitative Researcher (ETFs)

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 is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement.

About the Position

We are currently recruiting a Quantitative Researcher to join our ETF trading team in our Chicago headquarters. This Quantitative Researcher will be working directly with our international and domestic ETF/Equities trading group to review and develop pricing models, analyze and evaluate trades, and participate in idea generation to improve current models and algorithms. This Quantitative Researcher could potentially play a major role in growing the quant team and be expected to have an entrepreneurial mindset.

Responsibilities

• Investigate existing equities, commodities, and FX pricing models and propose improvements.
• Calibrate new models for unique market environments.
• Reverse engineer how the rest of the world behaves in different market environments.
• Develop databases of information, utilizing our expansive existing resources, to assist with new ideas and research.
• Explore trading ideas by analyzing market data and market microstructure for patterns.
• Participate in the idea-generation process with other traders and developers.

Required Skills

• An advanced degree in a quantitative field such as computer science, engineering, mathematics, statistics, or one of the hard sciences.
• Demonstrated expertise in statistical analysis. Ideally 5+ years of experience within quantitative research.
• Programming skills in Python is a must and experience with VBA, R, Matlab, Java would be a good complement.
• Exceptional communication both written and verbal and have the ability to handle multiple tasks in a time sensitive, fast paced, collaborative, collegial environment.
• The ability to work and solve problems as part of a team, often in a high-pressure environment.
• Successful candidates will have a passion for the financial market, working with large amounts of data and are strategic thinkers. Must be organized and detail-oriented and have the ability to manage multiple work streams.
• Proven trustworthiness and performance under the highest ethical standards.

Benefits and Perks

• Fully paid Medical, Dental, Vision, Disability, and Life Insurance
• Fully stocked kitchen; free breakfast and lunch every day on-site
• Tuition Reimbursement Program
• 401(k) with employer match
• Paid Vacation, Sick, and Parental leaves
• Commuter and Flexible Spending Programs

Base Salary Range

$170,000 - $300,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees.