AI Agentic Equity Analyst

Our client is a top-tier multi-manager global hedge fund, currently looking for an AI Agentic Analyst/Developer – Equity Research Automation to join one of the L/S equity pods. This role will build and deploy AI agents that automate equity investing, research workflows, and data intelligence. You will work directly with investment professionals to create autonomous systems that source, clean, structure, analyse, and synthesise large volumes of financial and alternative data.

This role is for you if you have:

• Deep equity research experience – Long/Short Equity, Long-Only, Asset Management, or Hedge Funds
• Strong AI engineering expertise – building LLM-powered agents, autonomous workflows, and automation tools
• Mandatory hands-on experience with Claude Code

What you’ll do:

• Build AI agents to automate company research, earnings analysis, filings, news, expert transcripts, and alternative data
• Develop agentic workflows for idea generation, monitoring, and investment decision-making
• Create internal research copilots and knowledge management systems for PMs and analysts
• Build data pipelines for ingesting and normalising large structured and unstructured datasets
• Implement retrieval, memory, reasoning, and tool-calling frameworks to improve agent performance
• Partner with investment teams to identify and implement high-impact automation opportunities

What you bring:

• Strong Python development skills
• at least 2 years of experience building AI agents, LLM-powered applications, and autonomous workflows for equity investment
• Strong data engineering and data-cleaning capabilities
• Understanding of retrieval systems, vector databases, prompt engineering, and agent orchestration
• Familiarity with financial statements, SEC filings, valuation methodologies, and fundamental investment processes
• Ability to work independently in a fast-paced environment

Technical Stack:

• Claude Code (mandatory)
• Python
• LangGraph / LangChain / PydanticAI
• FastAPI
• PostgreSQL / Snowflake
• Vector Databases
• AWS / GCP / Azure
• Docker / GitHub Actions
• MCP (Model Context Protocol)

Ideal Background:

We are particularly interested in candidates who combine:

• Investment experience – Equity Research, Long/Short Equity, Long-Only, Asset Management, or Hedge Funds
• AI engineering or agentic development expertise