At a Glance
- Tasks: Lead a team in developing LLM-powered analytics solutions and manage cloud-native architectures.
- Company: Join LSEG, a leader in financial markets, focusing on innovative AI-driven solutions.
- Benefits: Enjoy a collaborative environment with a strong emphasis on continuous learning and innovation.
- Other info: Hands-on experience with Azure, Databricks, and Snowflake is essential.
- Why this job: This role offers the chance to shape next-generation AI products for a global client base.
- Qualifications: Requires 10+ years in technology or financial services, with expertise in AI/ML and cloud platforms.
The predicted salary is between 70000 - 90000 £ per year.
Requirements
- 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 the job involves
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.
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.
- 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
Senior Tech Lead of Quantitative Analytics Engineering employer: London Stock Exchange
LSEG is at the forefront of financial analytics, partnering with Microsoft for cloud-first solutions. Located in a dynamic tech hub, the team values innovation and continuous improvement, offering a culture that fosters growth and collaboration.
