Senior Tech Lead, Quantitative Analytics Engineering
Hybrid · London, England, United Kingdom
Job Summary
Lead a high-performing team of quantitative analytics and AI engineers to design, develop, and deploy LLM-powered analytics solutions, including agent-based systems, copilots, and AI-driven workflows. Drive adoption of AI/LLM technologies across Analytics products (prompt engineering, RAG, model evaluation). Own the LLM engineering roadmap in alignment with Microsoft partnership initiatives; mentor engineers and collaborate with Product, Research, and Sales to deliver innovative AI-enabled analytics for financial markets. Architect and implement cloud-native data pipelines using Azure, Databricks, and Snowflake; build API-first SaaS/PaaS AI products with scalable data platforms; support multi-cloud/hybrid deployments and integrate AI agents into business workflows. Enforce best practices in governance, risk, explainability, and compliance. Requires strong experience in Python (plus C++/C#), hands-on LLM work, leadership in AI/ML, and domain knowledge in financial services.
Required Qualifications
- Master's degree in Computer Science, Engineering, Mathematics, or related field
- ~10+ years of experience in technology, AI, or financial services
- Strong experience in LLM/AI engineering and hands-on work with large language models
- Experience with RAG pipelines, agents, embeddings, and vector databases
- Strong leadership experience and ability to lead engineering teams
- Hands-on experience with cloud platforms (Azure preferred) and data/AI ecosystems (Databricks, Snowflake)
- Familiarity with AI agents, orchestration frameworks (LangChain, Semantic Kernel, AutoGen)
- Experience with API-driven, distributed, cloud-native systems
- MLOps/LLMOps, model lifecycle management, and production deployment of AI systems
- Strong python programming and familiarity with C++, C#, or similar languages
- Experience with large-scale data systems and financial markets knowledge (a plus)
- Excellent communication and stakeholder management skills
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