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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. Intern With Geneva Trading Geneva Trading is looking for ambitious, entrepreneurial students to join our core development team for a C++/software engineering internship next summer. Our internship program is a fast-paced, dynamic 10-week full-time paid position that gives you hands-on experience in the trading industry. Our interns are expected to design solutions to complex problems and work on projects that directly impact the firm. You’ll receive mentorship by industry pros and will participate in corporate training, teambuilding activities, and firmwide summer socials to strengthen your connection with other interns and full-time employees. The summer internship program is a proven path to earn full-time opportunities at Geneva Trading after graduation. As a C++ Developer (Intern) You Will Develop, test, and deploy software solutions under the guidance and support of senior technologists Work with large data sets and research innovative techniques to solve complex problems with middle and back office technologists, researchers, analysts, and project managers Leverage agentic AI coding tools like Anthropic's Claude Code to navigate the codebase, automate routine tasks (like writing tests and fixing lint errors), and accelerate feature development Communicate your ideas to a larger audience and incorporate feedback immediately for effective collaboration Required Qualifications Currently enrolled in a bachelor’s or master’s degree program focused on Computer Science or adjacent field Graduation dates between April 2024 and August 2026 Excellent C++ programming and design skills A strong understanding of foundational computer science concepts including data structures, algorithms, object-oriented programming, etc. Exposure with network programming (TCP/IP) and multi-threaded applications Possess an intuitive curiosity to learn and implement new ideas, be disciplined in your approach to work, and unafraid to take initiative or ask questions Preferred Qualification Knowledge of data pipelines, relational databases, data storage, and Linux Prior internship experience in data engineering or software development Familiarity with foundational AI/ML frameworks or experience using terminal-based AI assistants (like Claude Code) to enhance problem-solving and streamline git workflows Compensation: Hourly Range: $40-45/hr The final hourly rate will be dependent on the successful candidate's skills, experience, education, and qualifications. Application expected to close: 11/23/2026 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. 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.

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. About Geneva Trading Geneva Trading is a proprietary trading firm focused on high-frequency and algorithmic trading across global markets. Execution matters, but it is only one part of the edge. A lot of what we do depends on the quality of the data behind the trading, research, analytics, monitoring, and post-trade workflows. If the data is late, wrong, incomplete, or hard to use, people feel it quickly. This team owns that problem. The Role We are looking for a Data Engineering Manager to own our market data platforms and analytical data systems. This is not a pure people-management role. You will manage a small team, but you will also be expected to write production code, review designs, debug systems, and stay close to the technical details. We are looking for someone who still wants to build and who can lead by being in the work with the team. The core responsibility is to make sure our market data is captured, normalized, stored, and delivered correctly. The challenge is doing that across multiple venues, data sources, protocols, consumers, and performance requirements. Trading systems, researchers, analysts, and monitoring tools all depend on this data. The person in this role needs to understand that reliability, correctness, and recoverability matter as much as speed. New Opportunity The way we use data is changing. Historically, our market data platforms were built mainly for two types of consumers: trading systems that need fast and reliable access, and people doing research or analysis. We now have a third type of consumer emerging: AI-driven tools, models, and agents. That changes some of the requirements. These systems need clean structure, good metadata, lineage, context, and access patterns that are not always the same as a human writing a query. They may search across data differently, ask questions differently, and generate query volumes that are very different from normal human usage. We are not expecting someone to show up with all of this solved. We are also not looking for someone to simply bolt an AI interface onto an existing database. We want someone who understands where data platforms are going and can make practical engineering decisions now so the platform is ready for both human and machine-driven use. Having a real point of view on this matters for the role. What Success Looks Like This is a deep stack, so we do not expect someone to master everything immediately. A rough first-year path would look like this: In the first 90 days, you understand the main parts of the data stack, the people who depend on it, and the biggest pain points. You have shipped improvements to at least one real pipeline, not just reviewed documents or attended meetings. By six months, you are helping steer the roadmap for market data infrastructure. You have improved reliability, performance, observability, or recoverability in a way we can measure. The team is relying on you in code reviews, design reviews, and production decisions. By the end of the first year, you own the platform end to end, from ingestion through delivery. People across trading, research, and technology know to come to you for market data platform questions. You also have a clear view of how the platform needs to evolve as AI becomes a larger data consumer, and you have started moving it in that direction. Key Responsibilities Market Data Pipeline Engineering Own the market data pipeline from ingestion through normalization and near-real-time delivery. The data has to be correct first, and the system has to recover cleanly when something breaks. Responsibilities include: Integrating direct exchange feed capture alongside third-party vendor data Building and improving replay, recovery, and gap-detection capabilities Keeping market data correctly sequenced, validated, and available fast enough for downstream users Understanding when latency matters, when durability matters more, and how to make the right tradeoff Time-Series Architecture: KDB+/Q Design, maintain, and improve the KDB+/Q platforms that hold our real-time and historical market data. Responsibilities include: Schema design, partitioning, and query-performance tuning Supporting real-time and historical analytics use cases Managing retention and data lifecycle policies Keeping the platform maintainable as data volumes and usage grow Debugging production HDB and tickerplant issues directly Data Distribution & Platform Integration Deliver data reliably to downstream consumers through streaming, messaging, and platform integrations. Responsibilities include: Defining data contracts and schemas that other teams can depend on Supporting replayable and durable data flows where needed Working with downstream teams to understand how they actually consume the data Balancing real-time delivery needs with reliability and operational simplicity Tooling, Libraries & Supporting Systems Build the internal tooling and shared libraries that make the data platform easier to operate and easier to use. Responsibilities include: Building validation, monitoring, replay, and analytics tools Owning supporting systems for reference data, configuration, and metadata Improving developer workflows around market data testing and troubleshooting Reducing repeated manual work through better tools and automation Technical Leadership & Production Ownership Lead the team by staying close to the work. Responsibilities include: Writing production code Reviewing pull requests and technical designs Working directly with trading and research teams to understand their needs Debugging production issues during market hours when needed Setting expectations for quality, reliability, and maintainability Improving monitoring, alerting, and data-quality checks so problems are caught before the desk finds them Technology Stack KDB+ / Q Python C / C++ Linux Docker Git / CI-CD Binary market data protocols Streaming / message bus platforms Kernel-bypass / high-performance networking Industry-standard messaging protocols (FIX, SBE) Required Qualifications At least 7 years of experience in data engineering, market data infrastructure, or a closely related area Current hands-on production coding experience At least 3 years leading engineers while staying technically involved Strong KDB+/Q experience, including complex Q, tick architecture, query tuning, and production HDB troubleshooting Strong production Python experience, including tested, packaged, maintainable systems-level code Experience building low-latency decoders for real exchange protocols Strong understanding of multicast, packet capture, sequencing, and gap detection Comfortable working in Linux and using tools such as perf, strace, tcpdump, and numactl Able to own production issues directly, not just route them to someone else Preferred Qualifications Background in high-frequency trading, market making, proprietary trading, or another latency-sensitive environment C or C++ experience for performance-critical decoder or capture components Experience with kernel-bypass or high-performance networking technologies Experience with streaming platforms used in real-time data pipelines Working knowledge of binary market data encoding standards Contributions to open-source data tooling, market data systems, or quantitative research infrastructure Role Details Reports to the CTO Based in Chicago, IL; hybrid, with three days per week in the office No direct on-call rotation; the platform has 24-hour coverage from dedicated staff and support teams Compensation Base Salary Range: $180,000 - $250,000, plus eligibility for a performance-based bonus. Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/ Application expected to close: 9/01/2026 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.

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. Role Overview The Front-End Platform Developer designs, builds, and maintains internal trading systems that support trading visualization, trade management, algorithmic trading logic, risk limit management and trader configuration. This role is highly visible firm wide and partners closely with Trading, Risk, and Technology teams—including regular interaction with senior leadership—to deliver scalable solutions that improve efficiency, accuracy, while reducing latencies across our trading infrastructure. Key Responsibilities Design, build, and maintain internal toolset, dashboards and various backing services leveraged by our Trading, Support and Risk teams. Partner with traders and cross-functional teams to gather requirements and deliver high-impact, scalable solutions. Develop and extend the current frontend trading platform and supporting APIs, including various trade entry, management tools and technologies. Improve system performance, reliability, and scalability through testing, monitoring, automation, refactoring, and production support. Required Skills & Experience 3–5 years of professional software development experience. Strong C# (.NET or .NET Framework) experience building high-performance desktop applications. Experience with real-time data processing — TCP, multicast, or similar high-throughput data feeds. Experience rendering and interacting with large, rapidly updating datasets in a UI context. Familiarity with multithreading, lock-free patterns, and performance profiling/optimization. Solid understanding of databases and data modeling (SQL preferred). Strong communication skills (verbal, written and presentation skills) and the ability to thrive in a fast-paced trading environment. Proven ability to manage stakeholders and concurrent development initiatives, collaborating directly with traders (or similarly collaborative end-users), Support and Technology teams. Nice to Have Familiarity with various visualization API technologies such as DirectX or OpenGL. Experience developing advanced UI tools leveraging various frontend UI development frameworks. Experience developing servers and/or services with C++. Experience building complex multithreaded applications, preferably using native Threads and appropriate patterns. Exposure to AI or machine learning, particularly applied use cases such as automation or intelligent reporting. Experience in trading, financial services, game development, or other high-reliability, time-sensitive environments. Experience translating business requirements into clear, maintainable technical solutions. Compensation Base Salary Range: $120,000 - $180,000, plus eligibility for a performance-based bonus. Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/ Application expected to close: 10/01/2026 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.

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. Intern With Geneva Trading Geneva Trading is looking for ambitious, entrepreneurial students to join our DevOps team for a software engineering (Python) internship next summer. Our internship program is a fast-paced, dynamic 10-week full-time paid position that gives you hands-on experience in the trading industry. Our interns are expected to design solutions to complex problems and work on projects that directly impact the firm. You’ll receive mentorship by industry pros and will participate in corporate training, teambuilding activities, and firmwide summer socials to strengthen your connection with other interns and full-time employees. The summer internship program is a proven path to earn full-time opportunities at Geneva Trading after graduation. As a Python Developer (Intern) You Will Optimize existing scripting and tooling to implement nice-to-have features across the domain Collaborate with Senior DevOps technologists to learn and offload project features Hands-on experience with project planning, architecting, and modern CI/CD principles Opportunities to deploy, present, and experience your solutions in a mature trading system Explore and integrate AI-driven tools (such as LLMs or coding assistants) to automate routine DevOps workflows and enhance developer productivity Develop Python scripts to interface with AI APIs, assisting with intelligent log analysis, anomaly detection, or system alerting Required Qualifications Strong understanding of the Python programming language, data structures, and algorithms Conceptual understanding of design patterns and scalable system architectures, defensive coding styles and techniques, ability to identify technical requirements and code design strategies to solve them Basic familiarity/curiosity of the Linux operating system Ability to troubleshoot and problem-solve and can independently research solutions and communicate technical problems effectively Conceptual understanding of monitoring metrics, and the role alerting/monitoring plays in effectively monitor infrastructure Ability to document processes and procedures in enough detail to enhance knowledge sharing Preferred Qualifications Prior internship experience using Python Familiarity with leveraging AI coding assistants (e.g., GitHub Copilot, ChatGPT) to accelerate development and troubleshoot code A foundational interest in how AI and machine learning concepts can be applied to operational workflows, trading infrastructure, or data pipelines 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.