Software Engineer - 2027 Graduate Program (August Start)

Old Mission is recruiting for Software Engineer - 2027 Graduate Program (August Start) in Chicago, IL, United States. This listing was last seen on the firm's own job board on August 22, 2026.

A mid-sized Chicago market maker with a practical interview and less emphasis on pedigree.

What sets Old Mission apart: Markets and instrument knowledge weighted above abstract puzzles. Smaller firm, so juniors touch live risk sooner. ETF and fixed income market making rather than equities alone.

Related preparation: Quantitative Developer (QD) Career Roadmap, Quant Infrastructure Engineer Roadmap, Quantitative Data Engineer Career Roadmap and Algorithmic Trading Developer Career Roadmap.

The role, as Old Mission describes it, published on July 13, 2026 and reproduced from their job board:

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

Our development program is geared for college graduates who want to work alongside our talented software engineers creating impactful solutions to further the firm’s market initiatives. Responsibilities include developing and supporting C++ based trading applications and tools. You will be given immediate responsibilities which will significantly contribute to the firm’s daily activities. In this role, you’ll have the opportunity to learn more about creative programming and the tools needed to support electronic trading. If you are looking to have an immediate contribution and would like to be part of building out our business, feel free to apply today!

Required Skills

An undergraduate or an advanced degree in a quantitative field such as Computer Science, Engineering, or one of the hard sciences

Minimum 3.0 GPA

Knowledge of C++ and Python, SQL, JavaScript, React

Understanding of systems programming, data structures, and algorithms

Familiarity working in a Linux environment

Strong analytical and problem solving skills

Great communication skills, both written and verbal