The internship
We are looking for a Research / Quant Intern who is strong with technology, numbers and data. You will work directly with the portfolio managers on company research, quantitative analysis and tools that feed real investment decisions.
- Duration: 4-6 months preferred, full-time (part-time considered during term)
- Conversion: potential to convert to a permanent role
- Location: Singapore (office-based)
- Reports to: Portfolio Managers
- Eligibility: Singapore Citizens and Permanent Residents who are undergraduates, postgraduates or recent graduates
What you'll do
Research
- Research technology, semiconductor, AI and software companies; summarise earnings, filings and industry news
- Build and update financial models, valuation and comparable-company tables
- Write short, clear research notes for the portfolio managers
Quant and data
- Collect, clean and analyse financial, market and alternative data using Python, SQL and Excel
- Help build and back-test quantitative screens, factor models and trading signals
- Support portfolio monitoring, risk and performance attribution analysis
- Build charts, dashboards and tools that automate recurring research tasks
- Use AI and LLM tools (Claude, Copilot, Gemini, etc.) to speed up research and data extraction
- Manage code and projects on GitHub
What we're looking for
- Studying Finance, Economics, Engineering, Computer Science, Mathematics, Statistics, Physics or a related field
- Working knowledge of Python (pandas, NumPy) and strong Excel; familiar with Git and GitHub
- Good grasp of statistics (regression, time series) and basic financial statements
- Confident using AI and LLM tools such as Claude, Copilot and Gemini in daily work
- Real curiosity about technology, innovation and markets
- Proactive, positive and creative, with strong interpersonal and teamwork skills
- Shows initiative and an entrepreneurial mindset, and is driven to make an impact on the firm and the wider industry
- Team player and multitasker who can manage competing priorities
Nice to have
- SQL and experience with large datasets
- Machine learning or NLP projects (share your GitHub)
- CFA Level I progress; Bloomberg or Capital IQ experience
- Korean, Bahasa (Indonesia or Malaysia), Japanese or French
Hands-on work with the portfolio managers on live research and portfolio decisions Mentoring and regular feedback Monthly internship allowance; leave and other benefits depend on the length of the internship Potential conversion to a permanent role for strong performers