Hedge Fund - AI Quantitative Researcher / AI Engineer

Selby Jennings; Hong Kong; Sur place; HKD 600 000 - 900 000; Plein temps

Résumé du poste

Selby Jennings seeks a forward‑looking AI specialist to design and deploy AI‑driven solutions that support the investment and trading process.

You will build production‑grade applications using LLMs, agentic workflows, RAG, and generative AI, and develop tools that aid portfolio managers, researchers, and investment workflows.

Collaborating with engineers and investment teams, you will design scalable data pipelines and validation frameworks to measure model impact and business value.

Responsabilités

• 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.

Description du poste

• 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.