INTERNSHIP DETAILS
PMO Data Engineering Intern
CompanyGeneva Trading
LocationChicago
Work ModeOn Site
PostedJanuary 9, 2026

Internship Information
Core Responsibilities
As a PMO Analyst Intern, you will utilize data collection and analysis tools to interpret data and summarize findings for stakeholders. You will also assist in reporting project milestones and suggest recommendations for process improvements.
Internship Type
full time
Company Size
271
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Geneva Trading 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, which allows us to push the bounds of what's possible.
About the Role
<div class="content-intro"><p><span style="font-size: 14pt;">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.</span></p>
<p> </p></div><p> </p>
<p data-start="282" data-end="569">Geneva Trading is looking for a curious and motivated <strong data-start="336" data-end="367">PMO Data Engineering Intern</strong> 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.</p>
<p data-start="571" data-end="736">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.</p>
<h3 data-start="738" data-end="763">What You’ll Work On</h3>
<ul data-start="764" data-end="1452">
<li data-start="764" data-end="894">
<p data-start="766" data-end="894"><strong data-start="766" data-end="785">Data Pipelines:</strong> Help build scripts that pull data from internal systems and APIs, then clean and organize it for analysis.</p>
</li>
<li data-start="895" data-end="1034">
<p data-start="897" data-end="1034"><strong data-start="897" data-end="915">Data Modeling:</strong> Learn how to structure raw data into clear, easy-to-use relational models that support reporting and trend analysis.</p>
</li>
<li data-start="1035" data-end="1170">
<p data-start="1037" data-end="1170"><strong data-start="1037" data-end="1059">Scenario Analysis:</strong> Assist in creating “what-if” models to explore how changes in staffing or resources could impact team goals.</p>
</li>
<li data-start="1171" data-end="1305">
<p data-start="1173" data-end="1305"><strong data-start="1173" data-end="1199">Dashboards & Insights:</strong> Work closely with the Director of PMO to turn data into dashboards and visuals that tell a clear story.</p>
</li>
<li data-start="1306" data-end="1452">
<p data-start="1308" data-end="1452"><strong data-start="1308" data-end="1334">Production Experience:</strong> Gain exposure to writing clean, reliable code with best practices around testing, documentation, and maintainability.</p>
</li>
</ul>
<h3 data-start="1454" data-end="1482">What We’re Looking For</h3>
<ul data-start="1483" data-end="2079">
<li data-start="1483" data-end="1605">
<p data-start="1485" data-end="1605"><strong data-start="1485" data-end="1507">Python Experience:</strong> Hands-on experience using Python, especially Pandas and NumPy, for data analysis and transformation.</p>
</li>
<li data-start="1606" data-end="1710">
<p data-start="1608" data-end="1710"><strong data-start="1608" data-end="1624">Data Basics:</strong> Understanding of how relational databases work (tables, keys, basic normalization).</p>
</li>
<li data-start="1711" data-end="1804">
<p data-start="1713" data-end="1804"><strong data-start="1713" data-end="1728">SQL Skills:</strong> Ability to write queries to pull and combine data from different sources.</p>
</li>
<li data-start="1805" data-end="1952">
<p data-start="1807" data-end="1952"><strong data-start="1807" data-end="1826">Student Status:</strong> Currently enrolled in a Master’s or PhD program in Data Science, IT, Computer Engineering, or a related quantitative field.</p>
</li>
<li data-start="1953" data-end="2079">
<p data-start="1955" data-end="2079"><strong data-start="1955" data-end="1978">Eagerness to Learn:</strong> You enjoy building things, asking questions, and taking ownership of a project from start to finish.</p>
</li>
</ul>
<h3 data-start="2081" data-end="2114">Nice to Have (Not Required)</h3>
<ul data-start="2115" data-end="2346">
<li data-start="2115" data-end="2169">
<p data-start="2117" data-end="2169">Experience working with REST APIs or JSON/CSV data</p>
</li>
<li data-start="2170" data-end="2219">
<p data-start="2172" data-end="2219">Familiarity with Git or version control tools</p>
</li>
</ul>
<p><span style="font-size: 12pt;"><strong>Compensation:</strong></span></p>
<p><span style="font-size: 12pt;"><strong>Hourly Range: $35-40/hr</strong></span></p>
<p><strong><span style="font-size: 12pt;">The final hourly rate will be dependent on the successful candidate's skills, experience, education, and qualifications. </span></strong></p>
<p><span style="font-size: 12pt;"><strong><span data-teams="true">This role is a temporary position and therefore is not eligible for Geneva Trading’s full-time employee benefits program.</span></strong></span></p>
<p><span style="font-size: 12pt;"><strong> </strong>Application expected to close: 2/27/2026 </span></p>
<p> </p><div class="content-conclusion"><p><span style="font-size: 14pt;">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.</span></p></div>
Key Skills
Data AnalysisData VisualizationProject ManagementProblem SolvingCollaborationCommunicationInitiativeResearch
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