Agentic AI Dev - Equities

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., n \n

• Strong hands-on experience with Claude Code. \n

• Strong Python development skills. \n

• Experience building AI agents, autonomous workflows, or LLM-powered applications. \n

• Experience working with financial, market, or alternative datasets. \n

• Strong data engineering and data-cleaning capabilities. \n

• Experience building data pipelines and handling large datasets. \n

• Understanding of retrieval systems, vector databases, prompt engineering, and agent orchestration. \n

• Ability to work independently in a fast-paced environment. \n, * Experience within a Long/Short Equity, Long-Only Equity, Equity Research, Asset Management, Hedge Fund, or Investment Banking environment.

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• Design and develop AI agents to automate investment research workflows. \n

• Build autonomous systems capable of gathering, cleaning, validating, and structuring financial and alternative datasets. \n

• Develop agentic workflows for company research, earnings analysis, market intelligence, expert network transcripts, filings, news, and alternative data. \n

• Create AI-powered tools that assist portfolio managers and analysts in idea generation, monitoring, and decision-making. \n

• Build data pipelines for ingesting and normalising large structured and unstructured datasets. \n

• Implement retrieval, memory, reasoning, and tool-calling frameworks to improve agent performance. \n

• Develop internal research copilots and knowledge management systems. \n

• Collaborate directly with investment teams to identify high-value automation opportunities. \n

• Evaluate emerging AI technologies and implement best practices across the research platform. \n

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