LSEG and Microsoft have entered an exciting strategic partnership for the development of next-generation data, analytics and cloud infrastructure solutions. Our customers’ needs are evolving and so are financial markets. This partnership will transform the way customers discover, analyse and trade securities around the world. It will also advance our cloud strategy and build the improved resilience, efficiency and agility that our customers need. All of Microsoft’s customers will also have access to our data and analytics capabilities through a single flexible infrastructure that is intuitive and responsive. If you are interested in being a part of this dynamic strategic partnership, we look forward to considering your skills and experience.
ROLE PROFILE:
The Tech Lead, Quantitative Analytics Engineering (AI/LLM Focus) will lead a high-performing team of quantitative analytics and AI engineers, driving the design, development, and delivery of next-generation Analytics and AI-powered solutions. This role will combine deep expertise in Large Language Models (LLMs), AI/ML engineering, and cloud-native platforms with strong leadership experience to build scalable, intelligent analytics products for LSEG’s global client base.
ROLE SUMMARY:
The successful candidate will be responsible for leading the development and delivery of advanced Analytics and AI solutions, with a particular focus on LLM-powered applications, agent-based systems, and intelligent data platforms.
This role requires hands-on technical leadership across AI/LLM engineering, agile delivery, and cloud-native architectures, while managing a team of engineers and external partners. You will collaborate closely with Analytics Business, Product, and Research teams to deliver innovative solutions aligned with LSEG’s strategic partnership with Microsoft and its cloud-first vision.
You will play a key role in building and scaling LLM-driven capabilities, including AI-assisted analytics, automation, and decision-support tools for financial markets.
WHAT YOU'LL BE DOING: Responsibilities include, but are not limited to:
- Lead the design, development, and deployment of LLM-powered analytics solutions, including agent-based systems, copilots, and AI-driven workflows
- Drive adoption of AI/LLM technologies across Analytics products, including prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and model evaluation
- Lead and manage a team of engineers, fostering a strong engineering culture focused on innovation, delivery, and continuous learning
- Own the LLM engineering roadmap, aligning with business priorities and Microsoft partnership initiatives
- Deliver high-quality Analytics and AI product solutions to clients in collaboration with Product, Research, and Sales teams
- Architect and implement cloud-native solutions leveraging platforms such as Azure, Databricks, and Snowflake
- Design and deliver scalable data pipelines and AI workflows integrating structured and unstructured financial data
- Lead development of API-first, SaaS/PaaS-based AI products, including analytics, risk models, and intelligent reporting tools
- Extend and support a multi-cloud and hybrid cloud platform for AI and Analytics workloads
- Drive agile engineering practices, including CI/CD, MLOps/LLMOps, and DevOps for AI systems
- Collaborate with cross-functional teams to integrate AI agents and automation tools into business workflows
- Ensure best practices in model governance, risk, explainability, and compliance, especially in financial services
- Mentor and develop engineers in AI/ML, LLM technologies, and modern software engineering practices
- Foster a culture of innovation, experimentation, and continuous improvement
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
WHAT YOU’LL GET IN RETURN:
- Career growth, leading a commercially focused technology team in a high-profile business
- Client-facing financial applications design and development opportunity
- Leadership opportunity to determine strategic technology direction for Analytics products Cutting edge development on Microsoft Office & Azure platforms and cloud technologies
- We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take hybrid approach to workplace; this role is Blended.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
WHAT YOU'LL BRING:
- Strong experience in LLM/AI engineering, including hands-on work with large language models
- Proven experience building LLM-based applications, including RAG pipelines, agents, embeddings, and vector databases
- Solid experience leading engineering teams, ideally within AI/ML or data platforms
- Strong experience with agile software development methodologies and leading agile teams
- Hands-on experience with cloud platforms (Azure preferred) and modern data/AI ecosystems
- Experience with Databricks, Snowflake, or similar data platforms
- Familiarity with AI agents, orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, etc.)
- Strong experience designing and delivering API-driven, distributed, cloud-native systems
- Experience with MLOps/LLMOps, model lifecycle management, and production deployment of AI systems
- Strong programming skills in Python, and familiarity with C++, C#, or similar languages
- Experience working with large-scale data systems and pipelines
- Domain knowledge in financial markets (Fixed Income, Multi-Asset analytics) is a strong plus
- Strong understanding of software architecture, scalability, and system design
- Excellent communication and stakeholder management skills
- Degree (Master’s or equivalent) in Computer Science, Engineering, Mathematics, or related field
- ~10+ years of experience in technology, AI, or financial services
