Jobs at CME Group

Develops institutional client relationships across the MENA region to promote CME Group futures, options, clearing, and trading technology products. The role manages regional accounts, creates sales strategies and account plans, generates referrals, educates clients, tracks pipeline activity in CRM, and meets sales KPIs. Responsibilities include collaborating with EMEA teams and subject-matter experts, supporting cross-border client coverage, and representing CME Group at industry conferences and associations.

Manage and grow CME Group’s proprietary trading group client portfolio across India and Southeast Asia. Develop new business, execute regional sales strategies, build pipelines, cross-sell products, monitor CRM performance, and strengthen relationships with market makers, high-frequency trading firms, and other prop trading clients. Represent CME at industry events and conferences while collaborating with marketing, product, and business-line teams to promote exchange-traded and OTC cleared products.

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.

Entry-level Site Reliability Engineer role at CME Group. The provided description contains company information and equal-opportunity messaging but does not specify responsibilities, required qualifications, technologies, compensation, travel, or clearance requirements.

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.

Supports eDiscovery projects involving data identification, preservation, collection, organization, filtering, deduplication, and preliminary analysis of electronically stored information. Assists with legal hold inventory management, workflow documentation, eDiscovery tool testing, and maintaining internal playbooks. The role provides hands-on exposure to litigation lifecycle processes, information governance, legal technology, and data analytics while collaborating with directors, analysts, and records management teams.

Twelve-month placement supporting AI tooling integration and reliability engineering for high-availability financial systems. Responsibilities include performance testing, monitoring, automation, system architecture collaboration, resilience requirements, clean coding, and AI-assisted workflow improvements. Candidates should be computer science undergraduates with programming proficiency and foundational knowledge of reliability, monitoring, or AI/ML concepts. The role is based in Belfast with office attendance two or three days weekly.

Assist with developing and deploying AI tools, optimizing LLM-powered solutions, preparing data for machine learning, and collaborating with stakeholders on AI applications. The role covers the full project lifecycle from ideation through deployment, including internal insights tools, process automation, and client-facing financial-market applications.

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.

Own the strategy and implementation of CME Group’s external data and analytics API ecosystem. Build Python and C++ SDKs, schema registries, technical documentation, cloud distribution frameworks, authentication, telemetry, CI/CD workflows, and unified API standards. Partner with customers, product teams, engineering, and business stakeholders to improve developer experience, simplify data consumption, and normalize API design across the organization. The role combines hands-on software development, customer integration, technical writing, and enterprise API strategy.

Provides Tier-1 HR service support, resolves AskHR tickets, maintains and audits Workday HCM data, supports onboarding, offboarding, payroll, mobility, recruiting, and employee relations processes. Manages sensitive documentation and privacy compliance, performs HR systems testing and reporting, monitors SLAs and service metrics, and improves workflows through AI, automation, and knowledge-base maintenance.

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.

Manage B2B accounts receivable collections, resolve billing and payment discrepancies, maintain accurate account balances and aging records, and support cash application and reconciliation workflows. Prepare account analysis and aging reports, execute month-end close activities and adjustments, identify delinquency trends, and collaborate with clients, internal stakeholders, and financial leadership. The role requires experience with commercial receivables, ERP systems, automated cash application tools, Excel, and professional communication.

Lead the transition to an AI-driven, automated SOC by defining the automation roadmap, overseeing SOAR integrations and Detection as Code pipelines, mentoring engineers, and applying machine learning to security data. Serve as incident commander for major breaches, supervise threat hunting and intelligence programs, manage SIEM, EDR, NDR, and cloud security integrations, and optimize workflows to reduce detection and response times.

Guides cross-functional product teams in Scrum and Agile practices, facilitates Scrum and PI ceremonies, removes impediments, coaches team members, supports backlog and roadmap management, tracks delivery metrics, manages risks, and promotes continuous improvement, collaboration, quality, and lean-agile adoption.

Build AI-powered automations for tactical cyber threat intelligence operations, including collection, analysis, dissemination, detection engineering, vulnerability analysis, incident response support, and digital forensics. The role analyzes threat reports to create detection signatures and queries, coordinates with security operations teams, and improves Cyber Threat Intelligence processes.

Respond to and remediate cyber incidents across a multi-cloud environment, conducting digital forensics, malware analysis, threat hunting, and tabletop exercises. Build security automation using Python, Pandas, REST APIs, and AI; collaborate with global teams and automation engineers; and maintain incident response documentation, runbooks, and playbooks. The role also translates technical findings into actionable intelligence for leadership.

Leads Level 3 cyber defense monitoring and complex incident escalation while engineering an AI-driven SOC. Designs autonomous agents, SOAR playbooks, detection-as-code workflows, and LLM-integrated investigation pipelines. Applies machine learning and data analytics to improve threat detection and reduce false positives. Conducts threat hunting, oversees SIEM/EDR/NDR platforms, integrates threat intelligence, and optimizes SOC workflows to reduce detection and response times.

Owns daily global immigration operations, including U.S. employment-based visa and international cases, PERM processes, regulatory compliance, document review, vendor and external counsel management, billing, data integrity, and business travel support. The role advises HR, recruiting teams, managers, and foreign national employees; monitors immigration inquiries and case queues; audits filings and records; and provides leadership reporting on case status, risks, and regulatory changes.