Jobs at CME Group

Leads troubleshooting and incident response for a large global network, including routing, switching, multicast market data, wireless, security, and hybrid cloud environments. Implements network changes, automation, monitoring, documentation, and operational acceptance testing. Analyzes packet captures, supports multi-vendor infrastructure, evaluates network designs and processes, and collaborates with internal teams and customers to resolve complex issues.

Leads the design, development, testing, and deployment of Workday integrations, reports, business processes, and document solutions across HCM and Financials. The role integrates Workday with third-party systems and Google Cloud services, supports upgrades and incident resolution, applies security and governance standards, and mentors junior developers. Responsibilities include Workday Studio, EIBs, APIs, XSLT, BIRT, automated testing, application security, and least-privilege access management.

Manages employee relations programs, investigations, performance management, employee offboarding, and unemployment insurance claims. Advises employees, managers, HR colleagues, and senior leadership on employment matters, policy application, risk management, and performance improvement. Serves as the primary HR contact and site lead for the New York office while promoting an inclusive and accountable workplace culture.

Monitors, troubleshoots, and maintains global network infrastructure and services. Responds to alerts and incidents, manages network tickets, performs health checks, implements standard changes, and supports migrations, upgrades, and equipment commissioning. Coordinates with IT teams, customers, vendors, carriers, and service providers. Documents procedures, knowledge articles, root-cause analyses, and network diagrams while ensuring uptime and service availability.

Build and deploy AI data agents that interact with enterprise knowledge graphs, data catalogs, BigQuery, and analytics infrastructure. Develop modular agent skills and evaluation systems, create intelligent data pipeline integrations, and expand knowledge platforms in collaboration with data engineers. Use coding-agent tools to accelerate development. The role requires Python and Java, with preferred experience in Google ADK, LangChain, GCP, BigQuery, Kubernetes, GitOps, and major foundation models.

Manages end-to-end procurement for HR and Finance technology, including enterprise software, SaaS, implementation services, vendor negotiations, sourcing, supplier governance, compliance, invoice and purchase-order resolution, and process optimization. Partners with internal stakeholders, analyzes costs and usage, evaluates proposals, monitors supplier performance, and identifies savings opportunities across corporate technology platforms.

Entry-level Site Reliability Engineer role supporting the reliability, observability, scalability, and disaster recovery of customer and clearing systems. Responsibilities include building monitoring and alerting, writing automation scripts, supporting GCP migrations, participating in resiliency testing, and eventually joining the on-call rotation under senior-engineer mentorship.

Monitors, analyzes, triages, and validates security events across network, host, identity, and cloud telemetry. Documents enriched alerts for incident response, performs threat hunting, and helps operationalize threat intelligence. Develops automation scripts, SOAR playbooks, and SIEM detection rules using Git and Detection-as-Code practices. Evaluates AI-assisted triage workflows, maintains process documentation, and collaborates with security engineering and incident response teams to reduce manual work and improve detection accuracy.

Supports post-trade client onboarding, account setup, trade submission workflows, operational processes, and end-of-day activities. Resolves and escalates client and operational issues, maintains customer relationships, supports calls and visits, documents enhancement requests, and contributes to process improvements and internal projects across CME clearing products and asset classes.

Build and deploy AI data agents that interact with enterprise knowledge graphs, data catalogs, analytics systems, and data pipelines. Develop modular agent skills and evaluations, integrate AI capabilities with BigQuery and unified data platforms, and support knowledge catalog and graph expansion. Required skills include Python, Java, agent tooling, and coding assistants. Preferred experience includes Google ADK, LangChain, cloud platforms, Kubernetes, GitOps, and foundation models.

Supports memberships and commercial operations through process improvement, workflow automation, systems modernization, client onboarding, concierge support, reporting, dashboards, and sales operations projects. The role identifies process bottlenecks, improves data and document workflows, supports client-facing portal migration, tracks operational metrics, and collaborates cross-functionally with Sales, Product, Research, Data Analytics, and Marketing teams.

Performs IT control assessments, security risk assessments, regulatory compliance testing, remediation planning, and audit documentation. Evaluates AI/ML and frontier-model risks, develops Python automation pipelines integrating with enterprise security and GRC tools, and supports AI governance frameworks. The role collaborates with control owners, compliance, business stakeholders, and internal audit to strengthen controls, automate evidence validation, and reduce organizational risk.

Leads CME Group’s global compensation function, including base pay, bonuses, equity, promotion processes, job evaluations, executive compensation, governance, compliance, and market analytics. Advises senior leadership and the Compensation Committee, manages compensation communications and vendors, oversees executive disclosures, and leads a team of compensation professionals.

Supports post-trade clearing operations and risk management for derivatives, Treasury, Repo, and event contract products. Monitors weekend risk and systems, supports clearing members and customers, troubleshoots operational issues with technology teams, escalates impactful events, improves risk practices, develops governance documentation, and contributes to new clearing initiatives. The role works across internal departments and with external market participants on operational risk, systems, and clearing processes.

Own the strategy, roadmap, and delivery of CME Group’s external market data and analytics catalog. Lead marketplace enhancements, metadata catalog and schema registry development, customer onboarding, API and data distribution requirements, vendor integrations, telemetry, and monetization workflows. Translate customer feedback into technical requirements, manage cross-functional engineering delivery, improve developer experience, and support licensing, pricing, billing, and self-service data access across real-time, delayed, and historical products.

Prepares journal entries, account reconciliations, financial reports, and financial statements for EMEA and APAC entities. Supports month-end and quarter-end close, statutory audits, internal controls, regulatory compliance, and Sarbanes-Oxley requirements. Identifies process improvements, validates financial data, and contributes to accurate management reporting and disclosure quality.

Own the roadmap and backlog for AI/ML and market insights products supporting a derivatives exchange. Translate stakeholder needs into requirements, prioritize features, lead Agile and SAFe ceremonies, and coordinate with data science, engineering, sales, research, and marketing teams. Oversee ML lifecycle considerations, model and business performance metrics, data quality, regulatory compliance, and explainability while delivering commercial value through liquidity insights, sales intelligence, market research automation, and generative AI applications.

Owns the vision, roadmap, backlog, governance, and quality standards for curated data products within an enterprise data lakehouse. Partners with engineering teams, analytics stakeholders, and commercial data users to prioritize requirements, prototype data solutions, define acceptance criteria, lead Agile ceremonies, and drive platform adoption. Requires SQL proficiency, modern data platform experience, Agile/SAFe knowledge, and expertise in financial derivatives and exchange data.

Monitor CME clearing liquidity and counterparty risk, conduct liquidity stress testing, develop quantitative risk models and monitoring tools, analyze derivatives and risk factors, support regulatory reporting, and present findings to internal governance committees. Collaborate with Market Risk, Financial Surveillance, Credit, Collateral, Policy, and Quant teams to oversee risk exposures and escalate issues.

Lead architecture, design, and development of high-volume, low-latency Java applications on GCP for real-time positions and risk systems. Build scalable APIs and CI/CD pipelines, integrate observability, messaging frameworks, and AI tooling, mentor engineers, and collaborate with product, QA, and operations to ensure high availability and reliability for mission-critical financial systems.