Job Description

Our client is a global leading hedge fund, who's seeking an AI Agentic Developer to build and deploy next-generation AI agents focused on equity investing , research automation, and data intelligence. This role is particularly well-suited to candidates with experience in long/short equity, long-only asset management, equity research, or quantitative investing who have subsequently developed strong AI engineering capabilities.

Hands-on experience with Claude Code is mandatory.

Responsibilities

• Design and develop AI agents to automate investment research workflows.
• Build autonomous systems capable of gathering, cleaning, validating, and structuring financial and alternative datasets.
• Develop agentic workflows for company research, earnings analysis, market intelligence, expert network transcripts, filings, news, and alternative data.
• Create AI-powered tools that assist portfolio managers and analysts in idea generation, monitoring, and decision-making.
• Build data pipelines for ingesting and normalising large structured and unstructured datasets.
• Implement retrieval, memory, reasoning, and tool-calling frameworks to improve agent performance.
• Develop internal research copilots and knowledge management systems.
• Collaborate directly with investment teams to identify high-value automation opportunities.
• Evaluate emerging AI technologies and implement best practices across the research platform.

Requirements

• Strong hands-on experience with Claude Code.
• Strong Python development skills.
• Experience building AI agents, autonomous workflows, or LLM-powered applications.
• Experience working with financial, market, or alternative datasets.
• Strong data engineering and data-cleaning capabilities.
• Experience building data pipelines and handling large datasets.
• Understanding of retrieval systems, vector databases, prompt engineering, and agent orchestration.
• Ability to work independently in a fast-paced environment.

Preferred Experience

• Experience within a Long/Short Equity, Long-Only Equity, Equity Research, Asset Management, Hedge Fund, or Investment Banking environment.
• Understanding of fundamental equity research processes.
• Familiarity with financial statements, earnings releases, SEC filings, valuation methodologies, and investment workflows.
• Experience supporting portfolio managers, analysts, or investment teams.
• Exposure to quantitative research, alternative data, or systematic investing.

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