PMO Data Engineering Intern

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Chicago, IL, USA
Hybrid
35-40 Hourly
Internship
Fintech • Financial Services
WE EMPOWER THE PURSUIT OF MARKET OPPORTUNITY
The Role
Build data pipelines and relational data models using Python and SQL; clean operational data, support scenario analysis, and create dashboards for PMO leadership. Explore LLMs and machine learning for text analysis and data-quality automation. Gain production experience with testing, documentation, maintainable code, and data-driven decision support in a trading environment.
Summary Generated by Built In

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.

Skills Required

  • Hands-on Python experience, particularly with Pandas and NumPy for data analysis and transformation
  • Understanding of relational databases, including tables, keys, and basic normalization
  • Ability to write SQL queries to pull and combine data from different sources
  • Currently enrolled in a Master's or PhD program in Data Science, IT, Computer Engineering, or a related quantitative field
  • Eagerness to learn, build software, ask questions, and take ownership of projects
  • Experience with REST APIs or JSON/CSV data
  • Familiarity with Git or version control tools
  • Experience using AI coding assistants such as GitHub Copilot or ChatGPT
  • Familiarity with AI/LLM APIs such as OpenAI or basic machine learning libraries such as scikit-learn

Geneva Trading Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is described as premium medical, dental, and vision with wellness incentives, plus employer‑paid life insurance and short/long‑term disability. An Employee Assistance Program and mental‑health support are also highlighted.
  • Leave & Time Off Breadth Time off is highlighted as generous PTO alongside paid holidays and sick days. Paid maternity and broader parental leave are also explicitly called out.
  • Retirement Support Retirement benefits include a 401(k) with company matching. Access to financial advisors is noted as part of broader financial well‑being support.

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The Company
Chicago, IL
200 Employees
Year Founded: 1999

What We Do

Geneva Trading LLC is a leading proprietary trading firm with a history of consistent success in the listed derivatives markets. Over the past 20 years, we’ve grown significant capital, developed proven technology, and maintained an appetite for diversified trading strategies. We foster innovation and look for people who can solve complex problems that drive immediate results. We've built a culture of collaboration and personal excellence in everything we do, which allows us to push the bounds of what's possible.

Why Work With Us

At Geneva, our employees are not just a commodity, and we wouldn’t trade them for the world. We look for people who can solve complex problems and take disciplined risks. Apply now to become part of our world-class trading and technology team.

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Geneva Trading Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
Chicago Office
Dublin Office
London Office
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