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Lead technical business analyst for Americas market data systems: gather and document requirements, work with developers and vendors, lead project delivery, testing, QA, risk mitigation, and stakeholder communication to ensure accurate collection and distribution of exchange and contributed data.

Develop and structure quantitative investment strategy index products across asset classes. Partner with research, sales, clients, and technology teams to innovate index construction, define methodologies, create research and marketing materials, and support business planning. Build and enhance Python-based backtesting capabilities using object-oriented programming, optimize code performance, and contribute to front-to-back architecture, validation, calculation, and publication processes.

The Senior Quant Analyst will develop and maintain quantitative data processing pipelines, optimize workflows for financial datasets, and collaborate with various teams for robust system implementations, while supporting CI/CD, monitoring performance, and enhancing team skills.

Provide 2nd-line support and reliability for LSEG networks and platforms. Design, build, and maintain systems; monitor availability; automate operations; support deployments; liaise with telcos/partners; ensure performance, resilience and capacity across enterprise and datacenter networks, including cloud and low-latency trading environments.

Lead design, support, and reliability of LSEG's global network. Provide escalation support for multicast and WAN issues, define automation requirements, develop monitoring dashboards, lead upgrades, coordinate teams and third parties, and produce documentation to ensure operational stability and low-latency performance.

Own daily valuations and market analysis for CLO capital structures globally. Produce independent, defensible pricing using market inputs (BWIC, dealer runs, secondary trades), cash flow modeling, and contributed data. Perform quality control, investigate pricing anomalies, validate market data, mentor junior staff, and support methodology/product development and automation initiatives.

Design, implement, and support an enterprise Kubernetes-based container platform (LOCP) using Infrastructure as Code and SRE practices. Build platform services, automation, and observability; troubleshoot and resolve platform issues; collaborate with engineers, architects, SREs, and product teams; participate in design reviews, peer learning, and agile delivery to improve reliability, scalability, and operational effectiveness.

The Customer Success Manager engages with clients, focuses on their needs and goals, driving user engagement and identifying growth opportunities across Pricing and Reference Data products.

The Senior Sales Specialist will drive sales strategies for fixed income and equity solutions, manage client relationships, conduct product presentations, and maintain sales forecasts to achieve targets.

The role involves managing the AI product lifecycle, building LLM-based workflows, defining product requirements, monitoring performance, and collaborating with teams to ensure effective AI solutions.