[Job ID: 1643905]
Job Summary:
Join a dynamic team to develop AI-driven solutions for financial research, automation, and trading workflow optimisation.
Responsibilities:
- Design, build, and maintain AI agents for financial data analysis and research automation.
- Develop and optimise AI-driven workflows to improve operational efficiency.
- Explore and implement agent-based systems within quantitative finance environments.
- Experiment with multi-agent architectures, RAG pipelines, and skills-based frameworks.
- Apply emerging AI technologies to enhance trading infrastructure and research capabilities.
- Collaborate with quantitative researchers and data scientists to integrate AI models into research and trading platforms.
Requirements:
- Degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related discipline.
- Strong proficiency in Python programming and familiarity with AI/ML libraries.
- Experience with retrieval-augmented generation (RAG), multi-agent frameworks, or workflow orchestration systems.
- Hands-on experience with AI-assisted development tools (e.g., Claude Code, Codex, Cursor) is an added advantage.
- Keen interest in applying AI technologies within financial or quantitative research environments.
We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.
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EA Personnel Name: Zoe Lang Zhen Zhen
EA Personnel Registration Number: R23117353
EA License No.: 07C5771
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