Quantitative Trader (Options)

Ashby; Chicago (IL); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Full medical, dental, vision, life & 1

Job summary

Old Mission, a global proprietary trading firm with offices in Chicago, seeks a quantitative trader to implement market-making on CME options, develop pricing models, and build desk tooling. Collaborate with quants and developers to manage risk and source liquidity across exchanges.

The role requires a quantitative degree, 1–4 years trading experience, and programming proficiency (Python, C++, Java, VBA, Matlab, or Ruby).

Qualifications

• An undergraduate or advanced degree in a quantitative field such as CS, engineering, or hard sciences.
• 1-4 years of trading experience including algorithmic trading and knowledge of options theory.
• Proficiency in Python, C++, Java, VBA, Matlab, or Ruby.
• Ability to work in a team, often under pressure.
• Strong desire to learn and understand how things work.
• Proven trustworthiness and high ethical standards.

Responsibilities

• Implement and calibrate market-making strategies for CME options on futures.
• Develop pricing models with the quantitative research team.
• Build desk tooling for pricing, risk management, and opportunity identification.
• Manage a portfolio of fixed income volatility products.
• Analyze macro indicators and policy impacts on rate volatility surfaces.
• Manage trading risks and enforce risk limits.
• Ensure trading complies with regulatory requirements and internal policies.
• Collaborate with traders, quants and developers.
• Use the trading platform to source liquidity across exchanges.

Skills

Quantitative degree

Trading experience

Options theory

Python

C++

Java

VBA

Matlab

Ruby

Teamwork

Curiosity

Ethical standards

Education

Quantitative degree

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.

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.