Jobs at Geneva Trading

Paid 10-week Python software engineering internship on a DevOps team. Responsibilities include developing Python scripts, optimizing tooling, supporting CI/CD, collaborating with senior technologists, deploying solutions, and exploring AI-driven automation for log analysis, anomaly detection, and alerting in a trading infrastructure environment.

Provides part-time, on-site IT and desktop support for employees in a trading environment. Responsibilities include troubleshooting hardware, software, Microsoft Office, phones, printers, and enterprise AI tools; configuring workstations and applications; managing user accounts; and maintaining IT inventory. The intern will receive mentorship while applying classroom knowledge and learning help desk, hardware, networking, and AI-assisted troubleshooting skills.

Supports change releases, deployments, troubleshooting, monitoring, log analysis, and issue escalation for trading systems. Develops scripts to automate tasks and uses generative AI and LLMs to improve troubleshooting, log analysis, anomaly detection, and proactive monitoring. This 10-week paid internship includes mentorship, training, and project work supporting a systems reliability engineering team.

Ten-week paid software engineering internship developing, testing, and deploying C++ solutions for a proprietary trading platform. Interns work with large datasets, network programming, multithreaded applications, AI coding tools, and cross-functional technologists and researchers. The role includes mentorship, complex problem-solving, collaboration, and opportunities for full-time employment after graduation.

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.

Ten-week AI engineering internship focused on evaluating AI models, frameworks, and developer tools; prototyping AI-driven automation and assistants; tracking adoption and efficiency metrics; collaborating with traders and engineers; presenting findings to senior leaders; and addressing complex problems in algorithmic trading.

Ten-week quantitative trading internship involving training in kdb+/q, market microstructure, and strategy development. Interns analyze real-world trading data, model opportunities, build tools for trading decisions and risk management, collaborate with traders and technologists, and present findings to senior leaders. The program targets STEM students graduating between December 2027 and June 2028 and may lead to full-time quantitative trading roles.

As a Discretionary Trader, you will leverage advanced technology to scale profitable strategies and identify new opportunities, collaborating with a tech team to enhance trading systems.

Design, build, and maintain internal front-end trading tools, dashboards, and supporting APIs. Partner with traders, Risk, and Technology to gather requirements, improve performance, reliability, and scalability, and provide production support for real-time, high-throughput trading systems.

Design and build Qlik Sense dashboards and data load transformations for middle/back-office teams. Develop and maintain backend services supporting the trade lifecycle, ensure accurate data flows, own audit-trail reporting, support production systems, and improve performance, reliability, and observability.

Lead a small data engineering team and own market data platforms from ingestion through delivery. Build and maintain KDB+/Q time-series systems, ensure data correctness, low-latency decoding, replay/recovery, and reliable distribution to downstream consumers. Write production code, review designs, improve observability, and prepare the platform for AI-driven consumers.