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Designs and manages scalable data infrastructure and analytics pipelines for LSEG’s global financial markets infrastructure, leveraging big data tools (Spark, Kafka) and cloud platforms to enable data-driven decision-making and real-time insights.
Designs, deploys, and maintains resilient cloud infrastructure for global financial markets, using AWS, Azure, and Google Cloud while automating operations and ensuring high availability.
The Network Engineer will design, deploy, and maintain resilient, scalable network infrastructure for LSEG's Post Trade Business Services. The role involves managing cloud and on-premises network interconnects, automating infrastructure tasks, and ensuring high availability in a regulated financial environment.
We are looking for a highly driven and empathetic Associate Customer Success Manager to join our team. You will serve as a trusted advisor to customers across our Data & Feeds solutions to help unlock value and…
The Lead Software Engineer will design, build, and maintain scalable data-intensive services and applications for financial indices using Python and AWS. This hands-on role involves leading technical architecture, mentoring team members, and ensuring high-quality software delivery through modern engineering practices.
Customer Success Manager, Sales & Trading (S&T) Customer Success Managers (CSMs) connect our clients to LSEG’s solutions. As a Customer Success Manager, you will be responsible for encouraging relationships and…
Role Responsibilities & Key Accountabilities: Collaborate with QA Manager to identify and recommend improvements in testing lifecycle, architecture and implementation Design and implement test plans and test cases…
Onboard applications into SailPoint IdentityNow by gathering requirements, preparing documentation, and assisting with technical deployment and testing activities within LSEG's Identity Governance team.
Build and optimize high-performance C++ components for low-latency financial market data systems, focusing on performance tuning, debugging, and code quality.
Lead a DevOps/SRE team for LSEG's Customer Identity & Access Management platform, driving strategy for AWS infrastructure, CI/CD pipelines, Terraform-based IaC, and observability across globally used financial services components.
We are looking for a hands-on AI Product Co-Developer to join our team building production-grade agentic AI systems for complex, data-intensive environments. This is a hybrid role sitting at the intersection of product…
Lead a team of data scientists at LSEG in Bangalore to design, deploy, and optimize production-grade AI/ML solutions—including NLP, LLMs, and RAG—using Python, TensorFlow/PyTorch, and Azure/AWS for financial analytics workflows.
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
Designs and maintains automated test frameworks in Python to ensure high-quality software for a fintech firm, focusing on CLI, UI, API, and integration testing while integrating tests into CI/CD pipelines and collaborating with cross-functional teams.
ABOUT US: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering…
Our Team We are evolving our Reliability Engineering team to move beyond support and operations. As a Senior Engineer in Site Reliability, you will be part of a diverse and inclusive organization that has full…
Lead a team building enterprise-grade AI/ML solutions for financial data operations, including LLMs, RAG, and multimodal models, while driving MLOps/LLMOps and cloud deployments.
Maintain and improve the reliability of LSEG’s financial-data platforms by owning SLOs, monitoring, automation, and incident response using Python, Terraform, and cloud tools.
Builds data pipelines and ML models (NLP, LLMs, RAG) to process financial data, automate analytics, and enhance AI workflows using Python, cloud platforms, and MLOps practices.
Build automation tools and reporting dashboards using Azure, Microsoft Fabric, and SQL to streamline financial-data workflows and improve data quality for LSEG’s content operations.
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