Intern With Geneva Trading Geneva Trading is looking for ambitious, entrepreneurial students to join our systems reliability engineering team for a trade support 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 path to earn full-time opportunities at Geneva Trading after graduation.

As a Trade Support Engineer (Intern) You Will

• Support engineers through the change release process and deployment, troubleshoot, and escalate to the DevOps and Development team when necessary

• Learn to troubleshoot issues that arise on trading desks

• Review log files to find application issues, bring awareness of common issues, and propose solutions

• Assist in the management and tuning of monitoring tools to prioritize alerts

• Develop scripts to automate tasks as needed

• Leverage generative AI tools and Large Language Models (LLMs) to accelerate script development and optimize troubleshooting workflows

• Explore and assist in implementing AI-driven solutions for log analysis, anomaly detection, and proactive system monitoring

Required Qualifications

• Currently enrolled in a bachelor’s or master’s degree program in Information Technology or a similar field of study

• Experience troubleshooting, documenting, basic networking concepts, and Windows OS

• Experience with scripting (Python, PowerShell, or Bash)

• Foundational understanding of Artificial Intelligence concepts and a strong willingness to utilize AI tools for effective problem-solving

• Problem solver and self-starter with the ability to communicate effectively with cross-functional teams

Preferred Qualifications

• Python proficiency highly preferred

• Experience with cloud services/platforms, log tools, queries, and Jira preferred

• Strong project management experience preferred

• Experience with AI-assisted coding tools (e.g., GitHub Copilot) or integrating AI/ML APIs into automation scripts