AI Investment‑Research System Develop (full time/intern)

About the role

Assist senior secondary-market researchers in building an AI-empowered investment-research analytics system, focusing on market-data governance, digitization of technical analysis, and construction of an automated review framework to deliver intelligent and efficient investment-research workflows.

Key responsibilities

• Support the collection, cleansing and routine automated updating of multi-market (A-share / Hong-Kong stock / US-stock) market, capital and fundamental data, and safeguard the integrity and accuracy of foundational datasets.
• Help quantify manual technical-analysis logics and participate in developing automatic monitoring tools for price-volume anomalies, order-book signals and cross-market price spreads.
• Leverage large-language models and AI tools to construct an investment-research knowledge base; process bulk textual materials including research reports, news articles and meeting minutes to extract information, organize content and categorize viewpoints.
• Cooperate on historical market reviews and statistical analysis of data metrics, and iterate automated analysis templates to replace repetitive manual investment-research work.
• Document and archive daily workflows, assist in maintaining the investment-research data system and tool ledger, and standardize operational procedures.
• Take part in the development and roll-out of the AI Investment Agent system, and help the team build an automated workflow covering data acquisition, analysis and decision-making.

About you

• Bachelor's degree or above, majoring in Finance, Computer Science or related disciplines.
• Graduates of 2025-2026 and talents with 1-2-year working experience are welcome to apply.
• Possess basic secondary-market knowledge and understand core concepts such as K-lines, price-volume relationships and capital flows.
• Prior learning-related experience is preferred; Hong-Kong / US-stock trading experience is not mandatory.
• Be capable of using basic AI tools and willing to learn how to leverage large-language models for bulk text-processing and task decomposition.
• Show strong curiosity toward AI-driven investment research and quantitative digitization, be open to new tools and methodologies, and keep proactive in self-improvement.
• Have foundational knowledge of Python and Pandas for data processing.
• Candidates with internships, project experience in quantitative investment, asset management or AI-powered research, or strategy back-testing learning experience are preferred.
• Meticulous and data-sensitive, with solid self-learning ability, problem-solving awareness, a strong sense of responsibility and a down-to-earth working attitude.