Quantitative Trading
US$55 – US$65 / hr base salary
Posted 10 Sep 2026
Advertised as “Quantitative Trading Internship – Summer 2027”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Internship
| Base salary | US$55 – US$65 / hr |
|---|
Field of studyApplied Mathematics, Computer Science, Financial Engineering, Physics, Statistics (or related)
Study levelBachelor's or higher
Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.
Quantitative Trading Internship – Summer 2027
Location: Chicago, IL | Duration: 10 Weeks | Start Date: June 2027
Launch Your Career in Quantitative Trading with Geneva Trading
Are you a problem-solver with a passion for markets, data, and technology? Geneva Trading is seeking exceptional students to join our Summer 2027 Quantitative Trading Internship Program. This is your opportunity to gain hands-on experience at a leading proprietary trading firm where innovation, collaboration, and performance drive everything we do.
Over 10 fast-paced weeks, you’ll work on impactful projects, receive one-on-one mentorship, and develop the skills needed to thrive in the world of algorithmic trading. Our internship is a direct pipeline to full-time Quant Trading roles after graduation.
What You’ll Do
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Participate in an immersive training program focused on kdb+/q, market microstructure, and trading strategy development.
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Analyze and model trading opportunities using real-world data.
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Build and enhance tools that drive trading decisions and risk management.
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Collaborate with traders and technologists to solve complex, high-impact problems.
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Present your work to senior leaders and receive actionable feedback.
What We’re Looking For
We welcome applications from students pursuing Bachelor’s, Master’s, or PhD degrees in:
- Financial Engineering, Applied Mathematics, Computer Science, Physics, Statistics, or other STEM fields.
Graduation Dates: December 2027 – June 2028