Jobs at Cboe Global Markets

You will lead complex projects involving Python systems, collaborating with sales teams, mentoring developers, and ensuring operational support for trading systems.

Senior leader accountable for global access services strategy, P&L, product development, and revenue growth. Owns product roadmap, pricing, implementation, and cross-functional delivery for physical and logical market connectivity, partners with sales and data center vendors, and presents performance and market insights to executives and the Board.

Lead Data & Analytics Product Development, focusing on identifying, developing and monetizing data products, while overseeing a team and shaping AI strategies.

Technical lead for embedding and extending a real-time portfolio risk engine. Own architecture, code quality, numerical correctness, AI-assisted engineering practices, and collaborate with Risk, Quant, and Ops to deliver a high-availability, auditable CCP risk platform.

Support a 24x5 FX trading platform, providing real-time client support and system monitoring, troubleshooting issues, and liaising with stakeholders.

Lead creation of Cboe's Market Development function: identify and evaluate emerging market opportunities, define customer segmentation and commercialization strategies, build go-to-market plans for digital assets and new products, and drive cross-functional execution with Product, Sales, Legal, Technology, and Marketing to scale growth.

Design and evolve ultra-low-latency global networks across data centers, colocation, and cloud. Lead routing, scalability, lab validation, automation (Python), observability, and high-complexity migrations while mentoring engineers and producing regulatory and operational documentation.

The Senior Quantitative Data Analyst will analyze exchange datasets, develop data products for clients, and apply advanced analytics to identify insights and support market engagement.

Lead detection engineering and threat hunting across endpoint, identity, cloud, network, and SaaS environments. Design and implement high‑fidelity detections, run hypothesis-driven hunts and adversary emulation, translate findings into durable telemetry and architecture changes, and act as technical lead on high‑severity incidents. Mentor engineers and influence security strategy, roadmaps, and investments.

Design, build, validate, run and troubleshoot near-real-time data pipelines and reports. Ensure data quality and monitoring, drive data governance improvements, support stakeholders, and help evolve target architecture.

Lead enterprise-wide compliance training: design and deliver e-learning, microlearning, assessments, and job aids; manage LMS and content library; partner with Compliance, Legal, HR and stakeholders; track metrics and reporting; support certification, policy alignment, and continuous improvement of training programs.

Own and evolve operational resilience systems and automations across incident management, BCP/DR, change management, and compliance. Design end-to-end workflows, integrate systems for real-time data, lead audit/evidence collection, support regulators/auditors, mentor junior engineers, and drive continuous improvement using observability and AI-assisted workflows.

Provide SRE support for low-latency trading platforms: platform configuration, incident response, performance tuning, capacity planning, automation (Python), SQL analysis, and follow-the-sun on-call coverage from London.

Designs and builds automated workflows and integrations to improve incident management, change management, BCP/DR, and compliance evidence collection. Develops AI-assisted incident enrichment, self-service tooling, and observability instrumentation to reduce manual toil and improve operational metrics. Delivers end-to-end engineering solutions and maintains operational documentation in a fast-paced, collaborative environment.

Design, build, and automate operational resilience systems across incident management, BCP/DR, change management, and compliance. Integrate systems, develop AI-assisted workflows and self-service tools, run resilience testing, prepare regulatory assessments, and produce management reporting to reduce manual toil and improve operational metrics.

Design, build, and deploy production AI agents and agentic systems; scope AI opportunities with non-technical stakeholders; develop agent control plane and context engineering (prompting, retrieval, memory); create evaluation, observability, and benchmarking frameworks; drive architecture and standards across teams; mentor engineers and produce clear technical documentation.

Design, implement and extend high-performance C++ functionality for pan-European equities trading systems. Own features end-to-end, ensure quality and production readiness, diagnose and resolve production issues, mentor engineers, interview candidates, and provide out-of-hours support as needed.

Operate and support low-latency global network infrastructure across on-prem and cloud. Troubleshoot routing, MPLS, firewalls, and packet-level issues; perform incident response, customer onboarding, change execution, monitoring, automation, and deep packet analysis to reduce MTTR and improve observability.

Design, implement, test, and maintain scalable web applications and UIs using Python and modern JavaScript frameworks. Write automated unit tests, participate in code reviews, support incident remediation, contribute to requirements and documentation, and collaborate in agile team processes while improving system and business knowledge.

Lead architecture, engineering, and delivery of resilient enterprise infrastructure across hybrid and multi-cloud environments. Define infrastructure strategy, champion automation and AI-assisted engineering (LLM agents), implement IaC and observability, manage incidents and DR, mentor senior engineers, oversee vendors, and represent infrastructure in executive forums. Participate in on-call rotation.