PMO Data Engineering Intern

<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><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>

<p><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>

<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">What </span><span data-ccp-parastyle="heading 3">You’ll</span><span data-ccp-parastyle="heading 3"> Work On</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}"> </span></p>

<ul>

<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Data Pipelines:</span></strong><span data-contrast="auto"> Help build scripts that pull data from internal systems and APIs, then clean and organize it for analysis.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

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<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Data Modeling:</span></strong><span data-contrast="auto"> Learn how to structure raw data into clear, easy-to-use relational models that support reporting and trend analysis.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

<ul>

<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto">Applied AI & Automation:</span></strong><span data-contrast="auto"> Explore ways to leverage Large Language Models (LLMs) or machine learning to automate text analysis (like summarizing project updates) or enhance data quality.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

<ul>

<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto">Scenario Analysis:</span></strong><span data-contrast="auto"> Assist in creating “what-if” models to explore how changes in staffing or resources could impact team goals.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

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<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><strong><span data-contrast="auto">Dashboards & Insights:</span></strong><span data-contrast="auto"> Work closely with the Director of PMO to turn data into dashboards and visuals that tell a clear story.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

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<li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><strong><span data-contrast="auto">Production Experience:</span></strong><span data-contrast="auto"> Gain exposure to writing clean, reliable code with best practices around testing, documentation, and maintainability.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">What </span><span data-ccp-parastyle="heading 3">We’re</span><span data-ccp-parastyle="heading 3"> Looking For</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}"> </span></p>

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<li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto">Python Experience:</span></strong><span data-contrast="auto"> Hands-on experience using Python, especially Pandas and NumPy, for data analysis and transformation.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

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<li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto">Data Basics:</span></strong><span data-contrast="auto"> Understanding of how relational databases work (tables, keys, basic normalization).</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li>

</ul>

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<li data-leveltext="" data-font="Symbol" data-listid="5" data-list-defn-props="{"335552541":1,"3355