Modelling Data Scientist, Vice President - AI Labs
Core
Lead the development of production-grade AI agents and agentic workflows to solve complex client, investor, and operational problems in asset management.
Role type
Vice President, Modelling Data Scientist (AI Agents & Agentic Workflows)
Builds
AI-powered investment insights, risk management solutions, and enterprise AI platforms
Domain
Financial Services / Asset Management / Generative AI
Deliverable
production ML models | product features
Required skills
PhD in quantitative field, 4+ years experience, Python, AI/ML theory, agentic system evaluation, production deployment
Preferred skills
LLM reasoning, reinforcement learning, open-source agent frameworks (LangGraph, Pydantic AI), retrieval systems (RAG, vector DBs), financial data analysis
Technologies
PyTorch, AWS, Azure, GCP, LangGraph, Pydantic AI, OpenAI Agents SDK, Amazon Bedrock, Microsoft Agent Framework, MCP
Responsibilities
Account for delivery of major AI projects, translate business needs into AI/ML solutions, design and build AI agents with tool use and multi-step reasoning, prototype agentic solutions, build production-grade reliable solutions, define evaluation frameworks for agent quality, present technical work to senior leaders
Seniority
Executive (VP), hands-on IC with strategic leadership