PMO Data Engineering Intern

Geneva Trading; Chicago (IL); On-site; USD 48,000 - 55,000; Full time

Job summary

Geneva Trading, a premier trading firm with offices in Chicago, seeks a curious PMO Data Engineering Intern to join its Project Management Office this summer. You’ll build data pipelines, model data, and apply AI to automate insights, while learning in a fast-paced trading environment.

You’ll gain hands-on experience with real operational data, collaborating with senior leaders to turn data into actionable dashboards and decisions.

Qualifications

• Must be enrolled in a Master's or PhD program in Data Science, IT, Computer Engineering, or a related quantitative field.
• Hands-on Python data analysis with Pandas and NumPy.
• Strong SQL skills and understanding of relational databases.
• A curious, proactive learner with ownership over projects.
• Experience with REST APIs, JSON/CSV data, or AI coding assistants is a plus.

Responsibilities

• Data Pipelines: Build scripts to pull data from internal systems and APIs, then clean and organize it for analysis.
• Data Modeling: Structure raw data into relational models to support reporting and trend analysis.
• Applied AI & Automation: Explore how to leverage LLMs or ML to automate text analysis or improve data quality.
• Scenario Analysis: Create what-if models to explore staffing or resource impact on goals.
• Dashboards & Insights: Turn data into dashboards and visuals with leadership.
• Production Experience: Write clean, reliable code with testing, documentation, and maintainability.

Skills

Python

Pandas

NumPy

SQL

Relational databases

Education

Master's or PhD in Data Science, IT, Computer Engineering, or related quantitative field

Tools

Git

GitHub Copilot

OpenAI API

scikit-learn

JSON/CSV data

REST APIs

Job description

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. This internship is designed for students who want hands‑on experience building real data tools that support how teams plan, track, and make decisions.
You’ll work with real operational data and help turn it into insights that leadership can use, all while learning in a fast‑paced, collaborative trading environment.

What You'll Work On

• 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 We’re Looking For

• 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.

Nice to Have (Not Required)

• Experience working with REST APIs or JSON/CSV data
• Familiarity with Git or version control tools
• Experience utilizing AI coding assistants (e.g., GitHub Copilot, ChatGPT) to write, debug, and document code efficiently
• Familiarity with AI/LLM APIs (e.g., OpenAI) or basic machine learning libraries (e.g., scikit-learn)

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.