Quantitative Trader (Options) at Old Mission

About the role

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.

Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm’s growth.

Responsibilities

Implement and calibrate systematic market-making strategies that provide liquidity in CME options on futures.
Develop pricing models in collaboration with our quantitative research team.
Build desk tooling for pricing, risk management, and opportunity identification.
Manage a portfolio of fixed income volatility products across different assets with various holding times and liquidity profiles.
Analyze macroeconomic indicators, central bank policies, and other factors that influence interest rate volatility surfaces.
Manage trading risks by setting appropriate limits and adhering to our risk management policies.
Ensure all trading activities comply with regulatory requirements and internal policies.
Work closely with other traders, quants and developers.
Leverage a sophisticated trading platform to execute desired trades, sourcing available liquidity across multiple exchanges.

Required Skills

An undergraduate or an advanced degree in a quantitative field such as computer science, engineering, or one of the hard sciences.
1-4 years of trading experience encompassing algorithmic trading and a strong knowledge of options theory.
Proficiency with at least one of the following languages: Python, C++, Java, VBA, Matlab, or Ruby.
The ability to work and solve problems as part of a team, often in a high-pressured environment.
A strong desire for knowledge and to understand how things work.
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

$150,000 - $200,000 - 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. For more information, reach out to your recruiter.

Old Mission is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission, and no fee will be paid in the event the candidate is hired by Old Mission.

Skills & Tags

python java go rust ai data product

Aplyr's read

Old Mission thrives at the intersection of finance and technology, attracting quantitative minds and engineers to innovate in investment management.
Synthesized from recent postings & public sources

What's promising

•Old Mission offers diverse roles in trading and quantitative research, appealing to finance and tech professionals.
•The firm is expanding globally, with roles in London and Asian markets, indicating growth opportunities.
•Focus on systematic trading strategies provides a dynamic environment for quantitative and technical talent.

What to watch

•Highly competitive industry may lead to pressure and high expectations for performance.
•Limited public information about company culture and work-life balance.
•Rapid expansion might strain existing resources and affect operational efficiency.

Why Old Mission

•Old Mission's integration of technology and finance attracts both engineers and traders.
•Specialization in ETFs and systematic strategies differentiates it from traditional finance firms.
•Global reach in diverse markets offers unique exposure and learning opportunities for employees.

Aplyr’s read is generated by AI from public sources. Was it useful?