Quantitative Developer/Trader
Posted on 3/17/2023
Old Mission

51-200 employees

Global quantitative market-making platform
Company Overview
Old Mission's market making platform enables them to work with the world’s largest brokers, clearing firms, and institutional investors as a trusted partner, assisting them in transferring risk in a wide range of securities, often at prices that are much tighter than the competition. Old Mission values thousands of financial instruments globally, and have traded trillions of dollars of securities using proprietary systems and models, both on and off exchange.
Chicago, IL, USA
Experience Level
Desired Skills
Finance & Banking
Software Engineering
Quantitative Finance
  • A degree in a quantitative field such as computer science, engineering, mathematics, statistics, or one of the hard sciences
  • 2+ years of experience on a trading team as a developer or trader
  • Strong creative, quantitative, and analytical skills
  • Experience working with and joining multiple large datasets
  • Programming skills in C++ is a must and experience with Python is highly desired
  • Track record of successful design and execution of novel, complex, open-ended projects
  • Options experience preferred but not mandatory, candidate must be interested in the options space
  • 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 markets and are strategic thinkers. Must be organized and detail-oriented and the ability to manage multiple work streams
  • Proven trustworthiness and performance under the highest ethical standards
  • Contribute to the development and design of our next generation options algorithm stack
  • Use large quantities of data to develop and back-test signals to be used by our trading system
  • Collaborate with other members of the trading desk to develop and rapidly iterate on tools and dashboards used to enhance live trading
  • Develop options specific research infrastructure and libraries
  • Explore trading ideas by analyzing market data and market microstructure for patterns
  • Participate in the idea generation process with respect to options research