Assistant AI Analyst

About the Role

We are seeking an Assistant AI Analyst to join our investment team in Singapore. The role connects large language model (LLM) and agentic AI technologies with the firm's investment research process. You will build AI agent workflows to automate research tasks, evaluate AI models and providers, and provide analysis that supports investment decisions.

Key Responsibilities

• AI Tool Evaluation: Assess and benchmark LLM providers,agent frameworks and AI tools for accuracy, cost, latency and suitability for internal research use.
• AI Sector Research: Analyse technical developments in AImodels and infrastructure and assess their implications for companies in the AIsector.
• Research Automation: Build and maintain AI agent work flowsfor document ingestion, information extraction, data structuring and automatedan alysis.
• Data Analysis and Output Validation: Analyse financial datasets, validate the accuracy of LLM-generated outputs, and maintain data quality and integrity.
• Governance Support: Support the monitoring of AI tools for accuracy, bias and compliance with the PDPA, MAS guidance on the use of AI in financial services, and the firm's internal policies.
• Reporting: Present findings to investment professional sthrough research notes, dashboards and presentations.
• China A-share Research Support: Apply AI-assisted data extraction and quantitative analysis to China A-share research, including Mandarin-language filings and data sources.

Requirements

• Bachelor's or Master's degree in Applied Mathematics,Statistics, Data Science, Computer Science or a related quantitative field.Final-year candidates available to start by [month/year] are welcome to apply.
• 1–3 years of experience (including internships) in AI/ML,quantitative research, or investment research. Fresh graduates are encouraged to apply.
• Proficiency in Python; working knowledge of SQL;familiarity with R and data visualisation tools (e.g. Tableau, Power BI, or Python plotting libraries).
• Hands-on experience with LLM APIs, generative AI applications or agentic AI frameworks (e.g. retrieval-augmented generation,tool use, output evaluation).
• Understanding of machine learning and predictive modelling concepts.
• Ability to explain technical results clearly to non-technical colleagues, in written and verbal English.

Preferred Qualifications

• Internship experience in Singapore's financial services sector, particularly buy-side investment research.
• Experience in quantitative strategy development for the China A-share market.
• Professional working proficiency in Mandarin, required for working with Mandarin-language company filings, research and data sources for China A-share coverage.