Jobs at LSEG (London Stock Exchange Group)

Design, develop, and maintain automation, tools, reports and dashboards using Azure and Microsoft Fabric. Build utilities for bulk content updates and data correction, write optimized SQL and scripts, troubleshoot production issues, support CI/CD, collaborate with product and operations to translate requirements, and improve data quality and operational workflows.

Research, collect, validate, maintain, and disseminate fixed-income securities data in Refinitiv databases. Ensure data quality, completeness, and timeliness; investigate root causes of issues; respond to client queries; review sources; test releases; monitor market practices; support data projects and automation; produce reports; and train new analysts.

Conduct quantitative and qualitative research on global commodities and shipping flows, analyze vessel movements and trends, maintain and develop market models, build Excel and Power BI models, produce reports and presentations, and communicate market insights to internal and external stakeholders.

Lead a team to design, deploy, and optimize data-driven solutions for Sales Order Management. Drive business rules engine strategy, predictive models, process mining, automation (RPA/ML), and operational analytics to improve order quality, reduce cycle times, and increase automation across global Order-to-Cash operations.

Leads a 7–15-person team transforming Content Operations through technology strategy, product ownership, process automation, and continuous improvement. Defines product visions, roadmaps, requirements, business cases, KPIs, and adoption strategies while managing stakeholders across Product, Technology, Operations, Data, Risk, and Governance. Drives modernization, legacy-tool migration, data quality, operational excellence, governance, and measurable business outcomes while developing team capability and leading organizational change.

Develop enterprise-grade data and machine learning solutions for financial analytics. Responsibilities include data acquisition and transformation, workflow and user experience design, NLP, LLM, RAG, and deep learning model development, evaluation framework creation, web scraping, entity extraction, and cloud deployment. The role collaborates with operations, engineering, product, and business teams while applying MLOps, CI/CD, and data management practices.

Design, build, test, deploy, and operate Java-based microservices and REST APIs on AWS. Own CI/CD pipelines, ensure code quality and observability, apply secure coding, and collaborate with Product, QA, and SRE to deliver features end-to-end.

Manage Azure cloud infrastructure and DevOps practices, build CI/CD pipelines, implement infrastructure as code, and operate Docker/Kubernetes environments. Automate workflows with Python and PowerShell, monitor and optimize cloud performance and costs, apply security controls, support applications, and migrate on-premises and AWS systems to Azure.

Provides advanced technical support for LSEG and third-party financial data products, resolving complex client issues involving configuration, connectivity, installations, operating systems, cloud environments, upgrades, and workflow integrations. Leads technical projects, supports strategic accounts, performs remote or on-site break-fix activities, develops documentation and training, mentors junior staff, contributes to product rollouts, and collaborates with vendors, developers, and product managers to improve service delivery.

Business Analyst responsible for defining requirements and functional specifications for commodities datasets, leading content onboarding and migration initiatives, coordinating delivery across business and technology teams, and improving data quality, testing, automation, and release processes. The role analyzes large datasets, conducts validation and acceptance testing, develops quality metrics, resolves data issues, and collaborates with research, product, technology, and content stakeholders.

Source and research active and passive candidates across EMEA for technology, product, sales, post-trade, and corporate roles. Develop sourcing strategies, conduct screening interviews, build talent pipelines, perform competitor market intelligence and talent mapping, engage candidates, maintain ATS and recruitment data integrity, support employer branding, and provide reports. The role partners closely with talent acquisition teams, hiring leaders, and internal stakeholders while advising on recruiting expectations and sourcing strategies.

Designs, builds, secures, and operates AWS cloud platforms supporting highly available event-driven workloads. Responsibilities include Infrastructure-as-Code with Terraform, CI/CD and DevSecOps automation, AWS networking, identity management, observability, Kafka/MSK operations, container orchestration, disaster recovery, performance tuning, FinOps, and production troubleshooting. Partners with engineering, architecture, security, and product teams to improve reliability, scalability, security, and cost efficiency across mission-critical distributed systems.

Own PMO governance and portfolio control for Markets Operations Transformation, including delivery planning, RAID management, financial and resource tracking, investment planning, executive reporting, and governance support. Maintain accurate portfolio information in Clarity, coordinate workstream updates, track milestones and actions, support issue resolution, and provide senior forums with concise views of progress, risks, decisions, dependencies, benefits, and financials.

The Senior Associate - Platform Support is responsible for resolving customer enquiries related to Refinitiv Data Platform using excellent problem-solving skills and managing customer satisfaction effectively. They must log issues, track resolutions, and communicate updates proactively while ensuring alignment with company values and processes.

Design, implement, and operate cloud infrastructure and CI/CD pipelines for microservices. Contribute to IaC, automate deployments, support reliability, monitor systems, troubleshoot incidents, collaborate with product and dev teams, and follow DevOps best practices while growing technical skills.

Sources, validates, and maintains commodities and financial markets data across LSEG products. Monitors data quality, investigates anomalies, manages historical data and incidents, resolves client queries, supports content updates, and contributes to automation and process improvements. The role includes stakeholder collaboration, mentoring junior colleagues, rotational shifts, night shifts, and occasional weekend coverage.

Supports issuer-services operations and client interactions across platforms, shared inboxes, email, and live channels. Responsibilities include investigating issues with technology teams, delivering client events, maintaining Salesforce and client portal content, onboarding accounts and permissions, preparing engagement and performance reports, coordinating with colleagues and partners, and communicating client feedback to development teams.

Lead end-to-end product management for a multi-cloud database platform serving financial market data. Manage content ingestion, ETL, logical data models, delivery to on-prem and cloud warehouses (Azure, Snowflake), roadmaps, migrations/sunsets, client escalations, and stakeholder communication. Collaborate with sales, legal/compliance, technology, and clients to prioritize and implement product improvements.

Reports on the bond capital market by collecting issuance data, ratings, terms, and market commentary. Writes trend stories, deal analyses, market pipelines, special features, and DealWatch Awards reviews. Builds relationships with bankers, traders, and investors, contributes to the awards event, and delivers accurate stories under tight deadlines.

Nine-week engineering internship at LSEG designed to mirror its graduate technology programme. Interns may work across data and analytics, markets, risk intelligence, FTSE Russell, and engineering functions, with opportunities in programming, business analysis, and technology project management. Responsibilities will be matched to candidates’ skills and interests. The programme includes technical and coding assessments, online assessment, video interview, and an in-person assessment centre.