Hedge Fund - AI Quantitative Researcher / AI Engineer

- 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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