
Geneva Trading
Chicago, IL
Proprietary trading in global derivatives markets
About
Geneva Trading is a proprietary trading firm that provides liquidity and trades listed derivatives and futures. They operate across energy, fixed income, agriculture, FX, metals, environmental products, equity index, and digital assets. The firm builds custom technology including high-performance data pipelines, KDB+/Q time-series platforms, low-latency trading systems, and AI tools to support its traders and operations.
Perks & benefits
Competitive salary, Performance bonus
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8Quantitative Trading Interns will analyze market data, develop trading strategies, and build tools for trading decisions and risk management. Candidates should be STEM students graduating between December 2027 and June 2028 with strong programming, quantitative, and analytical skills.
Build and operate quantitative risk models, pricing tools, and real-time monitoring systems for futures trading while supporting live trading and applying AI techniques. The role requires 5+ years of quantitative, risk, or trading-systems experience, advanced Python skills, and strong futures-market knowledge.
Builds Qlik Sense dashboards, reporting processes, and backend services supporting the trade lifecycle for middle- and back-office operations. Requires a STEM degree, 2+ years of analyst or data-engineering experience, advanced SQL, programming skills, and strong data-quality expertise.
Build and maintain high-performance desktop frontend tools and dashboards for trading visualization, trade management, risk, and real-time data. Requires 3-5 years experience with C#/.NET desktop apps, real-time data feeds, multithreading, and UI for large dynamic datasets.
Data Engineering Manager to own market data platforms and analytical data systems at a proprietary trading firm. Hands-on role managing a small team while writing production code, leading KDB+/Q time-series architecture, building low-latency pipelines, and evolving the platform for AI-driven consumers. Requires 7+ years data engineering experience with strong KDB+/Q and Python background.
Lead the development and deployment of agentic AI systems, LLMs, and autonomous workflows to enhance trading operations and decision-making at a global principal trading firm. Requires 3+ years in AI roles, strong Python skills, and technical leadership experience.
Quant Trader managing positions, analyzing market data, modeling trading opportunities, and building tools for trading decisions and risk management. The role requires strong Python programming, quantitative reasoning, and interest in financial markets and algorithmic trading.
Leads an OTC oil commodities trading desk, overseeing traders, risk management, strategy execution, financial performance, and regulatory compliance. Requires substantial OTC trading experience, oil derivatives expertise, and familiarity with ICE, CME, and proprietary trading systems.