About the Program

Old Mission Ignition is an unpaid 2-day educational discovery series at our Chicago office for women interested in exploring careers at the intersection of technology and trading. This immersive experience will give you hands-on exposure to our quantitative trading environment and low-latency systems development.

Dates: April 9 – 10, 2026
Location: Chicago, IL

Over two days, you'll tour our trading floor, meet our developers and traders, participate in technical workshops, and gain insight into what it's like to build high-performance systems that power financial markets. This is a unique opportunity to explore whether a career in quantitative trading technology is right for you—no prior trading knowledge required.

Who Should Apply

This discovery series is designed for women who are:

• Current 2027 or 2028 college graduates (graduating May/June 2027 or 2028)
• Pursuing an undergraduate or advanced degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative fields
• Interested in quantitative trading, algorithmic trading, or financial technology
• Passionate about low-latency systems, high-performance computing, or systems programming
• Curious about applying technical skills to solve real-world problems in fast-paced environments

Required Qualifications

• Minimum 3.0 GPA
• Coursework or project experience with programming languages such as C++ and Python
• Understanding of data structures and algorithms
• Familiarity with systems programming concepts
• Strong analytical and problem-solving abilities
• Excellent communication skills, both written and verbal
• Eagerness to learn and adapt quickly in dynamic environments

What to Expect

During the two-day series, you'll:

• Tour our Chicago trading floor and technology infrastructure
• Attend technical presentations on low-latency systems and quantitative trading
• Participate in hands-on coding workshops and challenges
• Network with our engineers, traders, and female leaders in technology
• Learn about career paths in quantitative finance and electronic trading
• Gain insights into our company culture and development opportunities

How to Apply

Interested candidates should submit:

• Current resume
• Unofficial transcript
• Brief statement (250 words or less) on why you're interested in quantitative trading technology

Application Deadline: March 6, 2026

Participants will be selected based on academic background, technical skills, and genuine interest in the field. Selected candidates will be notified by March 13, 2026.