Senior Tech Lead, Quantitative Analytics Engineering
Core
Leading the development and delivery of advanced Private Markets Analytics solutions while driving the adoption of AI-powered capabilities to enhance product functionality and client value.
Role type
Senior Tech Lead, Quantitative Analytics Engineering (Manager level)
Builds
Private Markets Analytics platform and product suite for private capital markets
Domain
Financial markets infrastructure, Private Markets, AI/LLM engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Software architecture and system design, Cloud-native distributed systems, Azure, Databricks, Snowflake, Python, AI/LLM technologies, LLMs, RAG, AI agents, Prompt engineering, CI/CD, DevSecOps, MLOps/LLMOps
Preferred skills
C++, C#, AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen), Private Markets domain knowledge
Technologies
Azure, Databricks, Snowflake, LangChain, Semantic Kernel, AutoGen
Responsibilities
Lead design, development, and delivery of Private Markets Analytics product solutions; Lead technical architecture for distributed, cloud-native applications; Drive adoption of AI/LLM technologies; Lead and develop a team of engineers; Own the engineering roadmap; Architect and implement cloud-native solutions; Drive agile engineering practices; Provide technical leadership on architecture decisions; Mentor and develop engineers
Seniority
Senior, hands-on IC with management responsibilities