Jobs at LSEG (London Stock Exchange Group)

Lead design and implementation of secure, scalable cloud data architectures; drive adoption of AWS/Azure/GCP services; collaborate with data engineers to deliver data for analytics; assess data management technologies, promote data governance, mentor staff, and articulate architectural trade-offs to improve data quality and delivery supporting business roadmaps.

The Senior Manager will oversee non-financial, financial, and strategic risks in the Data & Analytics division, supporting order to cash processes, building partnerships across teams, conducting risk assessments, and driving improvements in controls and governance.

The Business Analyst will manage external workforce processes, collaborate with stakeholders, define requirements, implement systems, and improve service experiences.

Lead product strategy and roadmap for Equity and Multi‑Asset indices and an in‑house AI tool. Gather user feedback, prioritise features, work with research developers to ship, run market analysis, engage clients, and partner with Sales and Marketing to drive positioning and revenue.

Partner with the Global Indirect Tax Leader to develop and execute indirect tax strategy across EMEA (ex-UK). Provide VAT and cross-border tax advice, support compliance and audits, embed tax requirements into transformation programmes and systems, manage tax authority engagements, and produce technical guidance, documentation, and training for stakeholders.

The role involves enabling AI governance and engineering efforts by providing practical guidance, developing reusable assets, and ensuring continuous assurance across AI initiatives. The director will drive high-quality delivery, compliance, and responsible AI practices across the organization.

The Technical Lead will enhance developer experiences, streamline workflows, and modernize tooling, focusing on DevOps and CI/CD implementation across cloud platforms.

As a Principal Applied Data Scientist, lead the development of scalable AI solutions, focusing on NLP and LLMs, while collaborating with teams and ensuring production standards.

The Senior Product Manager will lead the strategy and execution for integrating LSEG's MCP tools into AI workflows, developing integration patterns, onboarding processes, and ensuring workflow reliability and safety for autonomous AI systems.

Design, build, and maintain scalable Azure cloud infrastructure and data platforms using Terraform. Build CI/CD pipelines, deploy and support Databricks, Event Hubs, and ADLS Gen2, automate operations with Python/Bash, administer Linux environments, optimize SQL systems, ensure security and governance, monitor performance and costs, and support real-time streaming data pipelines.

Own the end-to-end product lifecycle for Sustainable Investment (SI) data platforms: define roadmap; onboard and operationalize new data sources; lead migration from legacy systems to cloud/lakehouse/warehouse platforms; partner with engineering, operations, and commercial teams; and drive data quality, coverage, timeliness, and regulatory/client compliance.

Design, build, evaluate and operate advanced AI agents and applications on Azure. Implement RAG and vector-search solutions, integrate LiteLLM/MCP gateways, instrument telemetry into Langfuse and Datadog, and experiment with contemporary large models and agent harnesses to optimise quality, cost, and safety.

Design, build, and operate a global, latency-optimized Kubernetes hybrid cloud/container platform. Deliver platform features, run deployments and tests, provide consultancy for tenant onboarding, perform troubleshooting and automation, and upskill teams while driving CI/CD, observability and infrastructure-as-code practices.

Lead and execute the annual Compliance Assurance Plan, perform assurance reviews to assess control design and operating effectiveness, document and escalate findings, communicate results to control owners, and track remediation to closure.

Lead one or more News Engineering squads to deliver low-latency, real-time content enrichment and delivery. Hire and develop engineers, ensure reliability, quality, and sustainable on-call practices. Guide design and implementation of content processing and NLP enrichment, promote CI/CD, observability, automated testing, and responsible use of AI-assisted tools. Partner with product and architecture to balance speed, quality, and long-term system health.

Lead and develop Reliability Engineering managers and embed modern reliability practices across compute, storage, network, Linux and cloud platforms. Drive resilience, observability, capacity planning, disaster recovery and regulatory compliance. Provide technical and governance leadership, influence cross-team adoption of standards, support major infrastructure programmes, and engage senior stakeholders on operational risk and reliability strategy.

Lead sustainability governance, regulation monitoring, and due diligence programmes (including CSDDD). Manage sustainability aspects of M&A, third‑party and customer due diligence, supplier engagement, contractual requirements, and investor inquiries. Build stakeholder relationships across Legal & Compliance, Procurement, Sales, Investor Relations and Operations to embed and monitor sustainability obligations.

Build and maintain backend services and data pipelines for large-scale optimisation runs. Validate and integrate client trade data, develop APIs, improve performance and reliability, automate workflows, and generate reports delivered securely to clients.

The role involves supporting regulatory compliance, managing communications with regulators, coordinating regulatory submissions, providing compliance advice, and monitoring regulatory developments.

Lead design and implementation of CI/CD pipelines, infrastructure automation (Ansible/Terraform), and containerised platforms (Docker/Kubernetes/EKS/AKS) on AWS. Monitor and optimize systems (DataDog), ensure security/compliance, troubleshoot environments, mentor engineers, and drive POCs for AI-assisted automation integrated into CI/CD, code validation, and incident resolution.