APAC Quant Research Intern: Hedge Fund Insight & AI Tools

Jain Global

Hong Kong

On-site

HKD 134,000 - 201,000

Full time

14 days+
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Benefits offered by this job

Exposure to hedge fund strategies
Mentorship and career development
Competitive compensation and benefits

Job summary

Jain Global is seeking a Quant Researcher Intern to support portfolio managers and analysts with research on cyclical sectors, including metals and industrials. The role targets individuals passionate about financial markets, data analysis, and Excel-based modelling for hands-on exposure to investment research at a global hedge fund.

The internship emphasizes research support, data tracking, model building, and the use of AI tools to improve efficiency, within a collaborative, high-performance

Qualifications

  • Familiarity with financial markets and basic accounting concepts.
  • Strong Excel modelling experience required.
  • Ability to manage multiple tasks and work independently.
  • Proficiency in English; Chinese/Japanese is a plus.
  • Based in Hong Kong for local internship.

Responsibilities

  • Support the Portfolio Manager and Analyst with research on cyclical sectors.
  • Track industry data, analyze market trends, and build sector and company models.
  • Process operational and financial data for listed companies with Excel-based modelling.
  • Help utilise AI tools for investment research workflows.

Skills

Financial markets knowledge
Financial analysis
Accounting
Excel modelling
Analytical thinking
Communication skills
AI tools familiarity

Education

Finance/Economics degree preferred

Tools

AI tools

Job description

Jain Global is seeking a Quant Researcher Intern to support portfolio managers and analysts with research on cyclical sectors, including metals and industrials. The role targets individuals passionate about financial markets, data analysis, and Excel-based modelling for hands-on exposure to investment research at a global hedge fund.

The internship emphasizes research support, data tracking, model building, and the use of AI tools to improve efficiency, within a collaborative, high-performance

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