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
- 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
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
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
- Flexible hybrid workplace; this role is Blended
Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They guide our decision making and everyday actions.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of any protected characteristics and we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
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Career Stage: Manager
