Python Developer Intern

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.   Intern With Geneva Trading  Geneva Trading is looking for ambitious, entrepreneurial students to join our DevOps team for a software engineering (Python) internship next summer. Our internship program is a fast-paced, dynamic 10-week full-time paid position that gives you hands-on experience in the trading industry.

Our interns are expected to design solutions to complex problems and work on projects that directly impact the firm. You’ll receive mentorship by industry pros and will participate in corporate training, teambuilding activities, and firmwide summer socials to strengthen your connection with other interns and full-time employees. The summer internship program is a proven path to earn full-time opportunities at Geneva Trading after graduation.

As a Python Developer (Intern) You Will   Optimize existing scripting and tooling to implement nice-to-have features across the domain   Collaborate with Senior DevOps technologists to learn and offload project features  Hands-on experience with project planning, architecting, and modern CI/CD principles  Opportunities to deploy, present, and experience your solutions in a mature trading system  Explore and integrate AI-driven tools (such as LLMs or coding assistants) to automate routine DevOps workflows and enhance developer productivity  Develop Python scripts to interface with AI

APIs, assisting with intelligent log analysis, anomaly detection, or system alerting  Required Qualifications  Strong understanding of the Python programming language, data structures, and algorithms  Conceptual understanding of design patterns and scalable system architectures, defensive coding styles and techniques, ability to identify technical requirements and code design strategies to solve them  Basic familiarity/curiosity of the Linux operating system  Ability to troubleshoot and problem-solve and can independently research solutions and communicate technical problems effectively

Conceptual understanding of monitoring metrics, and the role alerting/monitoring plays in effectively monitor infrastructure  Ability to document processes and procedures in enough detail to enhance knowledge sharing  Preferred Qualifications  Prior internship experience using Python  Familiarity with leveraging AI coding assistants (e.g., GitHub Copilot, ChatGPT) to accelerate development and troubleshoot code  A foundational interest in how AI and machine learning concepts can be applied to operational workflows, trading infrastructure, or data pipelines  Compensation:  Hourly Range:

$35-40/hr. The final hourly rate will be dependent on the successful candidate's skills, experience, education, and qualifications.  This role is a temporary position and therefore is not eligible for Geneva Trading’s full-time employee benefits program.  Application expected to close: 12/23/2026  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.

• Strong understanding of Python, data structures, algorithms, and design patterns
• Basic familiarity with Linux and ability to troubleshoot and independently research solutions
• Conceptual knowledge of monitoring metrics, alerting, and ability to document technical processes