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Leads operational resilience and regulatory implementation for UK and EU trading services. Responsibilities include maintaining service inventories, impact tolerances, dependencies, RTOs and RPOs; supporting business impact assessments, continuity planning, incident management and resilience testing; automating BC/DR evidence collection and reporting; implementing requirements under DORA, MiFID II/MiFIR and EMIR; coordinating cross-functional controls; and reporting resilience status, testing results and remediation to senior management, committees and auditors.

Owns Cboe Europe's first-line third-party and ICT risk management lifecycle, including inventories, risk-based due diligence, contracting, monitoring, exit planning, resilience testing, governance, and regulatory reporting. Leads implementation of DORA Chapter V and FCA/PRA material third-party requirements, coordinates cross-functional stakeholders, strengthens controls, and uses AI to automate evidence gathering, data quality, monitoring, and reporting.

Provides real-time first-level support for trading, market data, and technology issues during Cboe’s US market coverage session in London. Responsibilities include monitoring production systems, onboarding clients, provisioning services, conducting certification and deployment testing, coordinating incident resolution, documenting issues, and supporting trade operations. The role also involves weekend testing, vendor and participant communication, and oversight of low-latency trading systems.

Support Cboe’s mission-critical market data and analytics platforms by investigating complex issues, analyzing logs and data, managing escalated incidents, coordinating post-incident reviews, and driving root-cause fixes. Responsibilities include customer and business support, system health checks, SQL and UNIX diagnostics, runbook creation, technical documentation, and mentoring Tier 1 staff. The role requires market knowledge, FIX protocol familiarity, production support experience, and comfort with Linux, Windows, SQL, and AI tools.

Lead and integrate Cboe Europe’s UK and Netherlands Compliance functions. Establish an independent second-line framework, oversee compliance risk assessments, monitoring, AML/KYC, financial crime controls, regulatory change, training, management information, and remediation. Serve as MLRO for UK entities, advise boards and committees, and engage with FCA, AFM, and ESMA. The role requires senior leadership across regulated financial services, extensive European market regulation knowledge, and approximately 20% travel between London and Amsterdam.

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.

Own a portfolio of financial-services client accounts across market data, index, and options analytics products. Manage renewals, retention, usage monitoring, onboarding, client engagement, escalations, billing follow-up, and expansion opportunities in partnership with Sales. Surface client feedback and product insights, coordinate cross-functional issue resolution, communicate product and policy changes, and maintain accurate CRM and portfolio reporting.

Manage software quality engineers testing and deploying high-performance European trading systems. Lead test planning, staffing, automated regression testing, code reviews, test framework development, CI/CD infrastructure, dashboards, and reporting. Apply AI techniques to QA, guide team development, and collaborate with engineering and business teams. Develop trading-system test scenarios across equities, options, futures, and indices while improving system performance, reliability, and testability.

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

In this role, you'll develop reliable Python systems for trading operations, collaborate on projects, debug issues, and provide operational support.