PMO Data Engineering Intern

Geneva Trading · Project Management

Where: Chicago Office
Posted: Sep 21

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.

Geneva Trading is looking for a curious and motivated PMO Data Engineering Intern to join our Project Management Office this summer.

What you'd do

Data Pipelines: Help build scripts that pull data from internal systems and APIs, then clean and organize it for analysis.
Data Modeling: Learn how to structure raw data into clear, easy-to-use relational models that support reporting and trend analysis.
Applied AI & Automation: Explore ways to leverage Large Language Models (LLMs) or machine learning to automate text analysis (like summarizing project updates) or enhance data quality.
Scenario Analysis: Assist in creating “what-if” models to explore how changes in staffing or resources could impact team goals.
Dashboards & Insights: Work closely with the Director of PMO to turn data into dashboards and visuals that tell a clear story.
Production Experience: Gain exposure to writing clean, reliable code with best practices around testing, documentation, and maintainability.

What they want

Python Experience: Hands-on experience using Python, especially Pandas and NumPy, for data analysis and transformation.
Data Basics: Understanding of how relational databases work (tables, keys, basic normalization).
SQL Skills: Ability to write queries to pull and combine data from different sources.
Student Status: Currently enrolled in a Master’s or PhD program in Data Science, IT, Computer Engineering, or a related quantitative field.
Eagerness to Learn: You enjoy building things, asking questions, and taking ownership of a project from start to finish.