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Hedge Fund - AI Quantitative Researcher / AI Engineer

Selby Jennings

RemoteFull timeMid levelPosted today
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About the role

  • Research, develop, and deploy AI-driven solutions that support the investment and trading process.
  • Build and implement production-grade applications utilizing LLMs, agentic workflows, Retrieval Augmented Generation (RAG), and generative AI technologies .
  • Develop AI-powered tools to assist portfolio managers and researchers with idea generation, market analysis, company research, portfolio monitoring, and investment workflows.
  • Design and maintain scalable data pipelines capable of processing large volumes of structured and unstructured financial data.
  • Apply machine learning, NLP, time-series modelling, and statistical techniques to uncover investment insights and generate actionable signals.
  • Evaluate, fine-tune, and optimize foundation models for hedge fund and financial-market applications.
  • Work closely with investment teams to identify opportunities where AI can improve research productivity and investment outcomes.
  • Build robust experimentation, validation, and monitoring frameworks to measure model effectiveness and business impact.
  • Collaborate with engineers to deploy scalable AI systems into production environments.
  • Stay abreast of the latest advancements in AI, machine learning, quantitative finance, and financial markets.

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