Senior Tech Lead, Quantitative Analytics Engineering

LSEG; City Of London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Career growth

Client‑facing projects

Strategic technology direction

Azure cloud stack

Hybrid work

Healthcare

Pension

Wellbeing

Job summary

LSEG, in partnership with Microsoft, seeks a Tech Lead for Quantitative Analytics Engineering (AI/LLM Focus). You will drive the design, development and delivery of AI‑powered analytics across a global client base, leading a high‑performing team and aligning roadmaps with strategic objectives.

Role requires deep LLM/AI expertise, cloud experience (Azure preferred) and a track record in building scalable AI systems for financial analytics.

Qualifications

• Strong experience in LLM/AI engineering with hands‑on model development.
• Proven track record building LLM‑based applications including RAG pipelines and agents.
• Experience leading engineering teams in AI/ML or data platforms.
• Proficiency with agile methodologies and leading software teams.
• Hands‑on cloud experience (Azure preferred) and modern data/AI ecosystems.
• Experience with Databricks, Snowflake or similar data platforms.
• Familiarity with AI agents and orchestration frameworks (LangChain, Semantic Kernel, AutoGen).
• Strong API‑driven, cloud‑native system design and deployment.
• Experience with MLOps/LLMOps and production AI deployments.
• Strong Python skills; familiarity with C++, C# or similar languages.
• Experience with large‑scale data systems and pipelines.
• Domain knowledge in financial analytics is a plus.
• Excellent communication and stakeholder management.
• Master’s or equivalent in a STEM field.
• 10+ years in technology, AI or financial services.

Responsibilities

• Lead design, development and deployment of LLM‑powered analytics solutions and AI workflows.
• Drive adoption of AI/LLM technologies across analytics products and pipelines.
• Mentor and develop engineers in AI/ML and modern software practices.
• Own the LLM engineering roadmap aligned with business priorities and partnerships.
• Deliver high‑quality analytics and AI products to global clients in collaboration with product, research and sales.
• Architect cloud‑native solutions on Azure, Databricks and Snowflake.
• Design scalable data pipelines and AI workflows for structured/unstructured data.
• Develop API‑first SaaS/PaaS AI products including risk models and reporting tools.
• Support multi‑cloud and hybrid cloud platforms for AI workloads.
• Advance CI/CD, MLOps/LLMOps and DevOps practices for AI systems.
• Collaborate with cross‑functional teams to embed AI agents into business workflows.
• Ensure governance, risk, explainability and compliance in financial services.

Skills

LLM/AI engineering

Team leadership

Cloud platforms (Azure)

Databricks

Snowflake

LangChain / AI agents

MLOps/LLMOps

Python

C++/C# familiarity

Distributed systems design

Financial analytics domain knowledge

Education

Master’s degree in CS/Engineering/Math

Tools

Azure

Databricks

Snowflake

LangChain

Semantic Kernel

AutoGen

Job description

Role Profile

LSEG and Microsoft have entered a strategic partnership for next-generation data, analytics and cloud infrastructure solutions. This role, the Tech Lead, Quantitative Analytics Engineering (AI/LLM Focus), leads a high-performing team of quantitative analytics and AI engineers, driving design, development and delivery of AI-powered solutions across LSEG’s global client base.

Responsibilities

• Lead 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 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 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.

Qualifications

• 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 such as 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.

Benefits

• Career growth leading a commercially focused tech 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.
• Hybrid blended workplace approach; flexible work arrangements.
• Healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.