Jobs at LSEG (London Stock Exchange Group)

Lead the quality engineering strategy for complex, data-intensive financial applications. Build enterprise automation frameworks, oversee UI, API, database, integration, and end-to-end testing, and integrate quality gates into CI/CD pipelines. Drive AI-assisted testing, data validation, cloud-native testing, governance, KPIs, and continuous improvement. Provide technical leadership, coaching, and cross-functional coordination while ensuring application reliability, testability, and release readiness.

Owns digital identity product problems from discovery through measurable outcomes. Defines customer and product requirements, business processes, success metrics, experiments, and roadmaps. Partners with engineering, commercial, operations, sales, and data teams to improve customer journeys and support onboarding, compliance, identity verification, and fraud prevention. Requires hands-on digital identity experience and knowledge of eIDAS, DIATF, AMLR, and AML/KYC regulations.

Designs, develops, and maintains cloud infrastructure for critical trading platforms. The role owns platform quality, supports multi-cloud application stacks, automates deployments, improves scalability, security, availability, and costs, and guides product teams on CI/CD and deployment strategies. Responsibilities include SRE support, DevOps best-practice development, monitoring, security tooling, cross-functional collaboration, mentoring, and working within regulated financial services environments.

Develop and maintain Python and SQL research tools, analytics, data pipelines, automation, and AI-enabled workflows. Analyze and validate large financial datasets, investigate data issues, support quantitative investment and index research, and apply regression, optimization, factor analysis, risk modeling, and performance analytics. Collaborate across research, engineering, technology, and data operations teams while supporting index methodologies, rebalances, client inquiries, and continuous process improvement.

Leads DORA client audits and ISAE 3000 attestations, managing planning, evidence, external auditors, remediation, and final issuance. Oversees an assurance team, strengthens technology risk controls, maintains audit documentation, reports assurance metrics, and partners with Technology, Product, Security, Legal, Risk, Compliance, clients, and auditors. Drives audit readiness, control improvements, automation, standardization, and governance across a complex global data and analytics environment.

Owns cyber risk oversight for a Data & Analytics portfolio, assessing controls, architecture, threats, vulnerabilities, AI security, identity, cloud, third-party risk, and remediation. Partners with business, engineering, and central Cyber teams to translate technical risks into business impact, treatment options, and executive decisions. Maintains risk reporting, challenges security decisions, supports regulatory alignment, and builds trusted relationships across organizational boundaries.

Supports the strategy, roadmap, and delivery of LSEG’s Enterprise AI Platform. The role helps define platform capabilities, collaborate with Engineering and governance teams, gather requirements, prototype AI products, support platform adoption, track metrics, maintain standards, and coordinate with cloud and industry partners. It is designed for an early-career product manager interested in AI platforms, enterprise software, APIs, and responsible AI.

Supports the strategy, roadmap, and delivery of LSEG’s Enterprise AI Platform. Responsibilities include defining platform capabilities, partnering with Engineering and governance teams, gathering requirements, supporting AI infrastructure adoption, validating prototypes, tracking delivery and success metrics, maintaining standards and documentation, and coordinating with product teams, cloud providers, and industry partners. The role focuses on secure, scalable, governed AI enablement across the enterprise.

Owns the end-to-end lifecycle of market data, regulatory news, and symbology products. Responsibilities include roadmap development, client feedback, innovation, product delivery, revenue growth, regulatory compliance, benchmarking, stakeholder management, and supporting sales. The role collaborates with engineering, marketing, commercial, policy, regulation, and operations teams to develop and manage consumer-facing digital products.

Own and improve Technology and Cyber control libraries and standards. Translate regulations and frameworks into control requirements, implementation guidance, evidence expectations, and mappings. Lead reviews, governance approvals, traceability, remediation tracking, audits, regulatory assessments, and RCSAs. Partner with control owners, security specialists, risk, and audit teams to challenge weaknesses. Use analysis, automation, and approved AI to improve data quality, duplicate detection, reporting, and workflow efficiency.

Leads the design, facilitation, and delivery of product management bootcamps and instructor-led training. Develops practical modules, workshops, simulations, coaching, clinics, and reinforcement activities for Product Managers at multiple career stages. Ensures learning translates into improved product decisions and practices, maintains training materials aligned with enterprise PLM standards, and partners with product, engineering, operations, and talent leaders to address capability gaps.

Leads real-time and post-trade supervision for LSE’s extended-hours market, managing trading halts, cancellations, disorderly events, investigations, escalations, and participant interactions. Develops procedures, playbooks, controls, and operational readiness processes for overnight supervision. Requires expertise in market structure, trading lifecycles, venue rules, UK and European regulations, and time-critical decision-making, along with strong leadership and stakeholder management skills. The role supports predominantly Asian-hour shifts from 12:00 to 08:00.

Leads commercial finance operations for Sales and Account Management, overseeing deal governance, pricing, profitability, risk, policy exceptions, annual price increases, and commercial process improvements. Partners with Finance, Sales, Legal, Product, Tax, Compliance, and Operations to support sound customer agreements and business decisions. Manages approximately 17 professionals across multiple regions, including resource planning, performance management, talent development, succession planning, and operational execution.

Leads the organization’s scenario testing and operational resilience program. Designs severe-but-plausible resilience exercises, measures maturity, coordinates regulatory audits and evidence gathering, monitors requirements, and drives remediation of resilience gaps. The role partners with Technology, Operations, Risk, Compliance, Security, Audit, and Business Continuity teams, facilitates executive workshops, and reports outcomes and recommendations to leadership. Key frameworks include DORA, operational resilience regulations, ISO 22301, ICT risk management, and Critical Third Party requirements.

Leads a Power BI and data insights team while remaining hands-on with dashboard development, semantic modeling, DAX, Power Query, SQL Server, testing, security, deployment, and production support. Owns governed data architecture, reusable AI-ready foundations, design standards, and testing strategy. Translates business needs into scalable reporting solutions, improves data quality and adoption, coaches team members, and partners with investment and transformation stakeholders.

Reports and edits breaking news, deals, pricing, and market trends across fixed-income markets, primarily in EMEA. Develops sources among bankers, investors, and bond-market participants; produces timely, insightful content for IFR Magazine, LSEG Workspace, and other publications. Collaborates across editorial and cross-asset teams while maintaining accuracy, integrity, and strong storytelling.

Leads technology risk, cyber risk, operational resilience, control management, regulatory compliance, governance reporting, issue remediation, audits, and third-party technology risk activities for regulatory reporting solutions. Partners with engineering, product, infrastructure, cloud, cyber, audit, compliance, legal, and risk stakeholders to assess risks, strengthen controls, coordinate evidence, track remediation, and support regulatory and governance reviews.

Analyze end-to-end operational processes using interviews, documentation, system data, SQL, Python, and process-mining insights. Identify automation, analytics, ML, and AI opportunities; quantify impact and feasibility; map as-is and to-be workflows; define KPIs and delivery-ready use cases; support prioritization, stakeholder communication, adoption, and value realization. The role works upstream of engineering to improve digitalization pipeline quality and ensure initiatives address real operational needs.

Leads the strategy, architecture, and delivery of scalable analytics engineering capabilities across pricing, risk, derived metrics, and predictive analytics. Oversees distributed systems, real-time and batch computation, AI/ML productionisation, engineering standards, and technical roadmaps. Partners with Product, Research, Commercial, and engineering teams while applying fixed income and derivatives expertise. Builds and scales a high-performing engineering organisation and drives enterprise-wide alignment and innovation.

Lead the architecture, development, deployment, monitoring, governance, and continuous improvement of production-scale machine learning platforms. Establish MLOps standards, feature stores, data quality frameworks, testing strategies, explainability practices, and observability. Build low-latency inference services, oversee AWS SageMaker workflows, guide validation and experimentation, solve reliability and scaling challenges, and coach engineers while driving technical direction.