AI Engineer Internship Summer 2027

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.

AI Engineering Internship Summer 2027

Location:Chicago IL Duration:10 Weeks Start Date:June 2027

Launch Your Career in AI Engineering with Geneva Trading

Are you a problem-solver with a passion for markets data and technology Geneva Trading is seeking exceptional students to join ourSummer 2027 Geneva 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 youll 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 roles after graduation.

What Youll Do

• Explore and innovate with new AI models frameworks and developer tools to help identify high-potential technologies for internal workflows.
• Experiment and prototype specific engineering problems by prototyping AI-driven tools automation and assistants alongside senior mentorship.
• Assist in tracking metrics around developer efficiency tool adoption and solution effectiveness.
• Collaborate and share findings demonstrate prototypes and collaborate with engineers to help drive technology adoption.
• Collaborate with traders and technologists to solve complex high-impact problems.
• Present your work to senior leaders and receive actionable feedback.

What Were Looking For

We welcome applications from students pursuingBachelors Masters or PhD degreesin:

• Financial Engineering Applied Mathematics Computer Science Physics Statistics or other STEM fields.

Graduation Dates: December 2026 June 2027

Required Skills

• Experience with agent orchestration frameworks or multi-step AI workflows.
• Interest or background in trading fintech or other performance-sensitive environments.
• Strong software engineering fundamentals currently pursuing or recently completed a degree in Computer Science Data Science or a related field.
• Experience with Claude Code Codex Grok Build and/or Gemini.
• Proficiency in Python and comfort with fundamental software development practices.
• Hands-on exposure to LLMs prompt engineering or modern AI tooling through coursework research or personal projects.
• Curiosity fast learning velocity and an eagerness to tackle open-ended technical challenges.
• Strong collaborator with good communication skills and ability to work cross functionally.
• Strong communication skills to explain technical concepts and project outcomes to peers and mentors.
• Curiosity about financial markets algorithmic trading and market microstructure.
• Ability to think critically and communicate complex ideas clearly.

Why Geneva Trading

• Impact from Day One:Work on meaningful projects that influence trading decisions.
• Mentorship & Learning:Learn from experienced traders quants and technologists.
• Culture of Excellence:Join a collaborative high-performance environment.
• Career Path:Top interns receive full-time offers to join our Geneva Trading team after graduation.

Compensation:

Hourly Range: $55-65/hr

The final hourly rate will be dependent on the successful candidates skills experience education and qualifications.

Application expected to close: 10/23/2026

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status.