Equity Research Intern: AI-Driven Research & Tools

Franklin Templeton Investments; Singapore; On-site; SGD 20,000 - 28,000; Part time

Job summary

Franklin Templeton Investments in Singapore seeks an internship to support equity research and portfolio insights. You will engage in company and industry analyses, test investment hypotheses, and help enhance Excel-based tools and dashboards within a dynamic asset-management environment.

Ideal candidates are second-year or above, studying Finance, Economics or Accounting, with strong Excel skills and an interest in applying AI to investment workflows.

Qualifications

• Currently pursuing a university degree in Finance, Economics or Accounting.
• Strong Excel skills and familiarity with financial analysis.
• Interest in applying AI to investment workflows.
• Analytical mindset with attention to detail and curiosity.

Responsibilities

• Support equity research projects aligned to current investment priorities
• Conduct company, industry, competitive, and thematic research
• Analyse financial statements, earnings, valuations, and market data
• Test investment hypotheses using financial and market information
• Use artificial intelligence tools to deepen and accelerate research
• Enhance Excel-based tools and investment workflows
• Modernise watchlists, spreadsheets, formulas, links, and dashboards
• Reduce manual steps and improve analytical efficiency
• Integrate internal data into practical investment tools
• Improve how portfolio, company, valuation, and market information is presented
• Explore artificial intelligence solutions for scalable investment processes

Skills

Analytical skills

Attention to detail

Curiosity

Self-starter

Proactive mindset

Experimentation

Education

Finance / Economics / Accounting

Tools

Excel

AI tools

Job description

Franklin Templeton Investments in Singapore seeks an internship to support equity research and portfolio insights. You will engage in company and industry analyses, test investment hypotheses, and help enhance Excel-based tools and dashboards within a dynamic asset-management environment.

Ideal candidates are second-year or above, studying Finance, Economics or Accounting, with strong Excel skills and an interest in applying AI to investment workflows.