PMO Data Engineer Intern: Build Insights & Dashboards

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

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.