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**Global Investment Research, Macro, Portfolio Strategy Intern (Seasonal / Off-cycle)** - Hong Kong, Seasonal - Analyze macroeconomic trends and financial markets - Conduct in-depth research and develop investment strategies - Collaborate cross-functionally with analysts, portfolio managers, and traders - Experience with financial models and data analysis tools (e.g., Bloomberg, FactSet) - Strong academic background (typically undergraduate or graduate student) - Proficient in SQL, Python, or other programming languages a plus Our Off-Cycle Program provides real responsibilities and immerses interns in our day-to-day activities. It spans various lengths based on university requirements and programs. Previous participants found it valuable for developing skills and networking, while some have received full-time offers post-graduation.
- Compensation
- Not specified
- City
- Hong Kong
- Country
- Hong Kong
Currency: Not specified
Full Job Description
About the program
Our Off-Cycle Program varies in length based on program/university for undergraduate students. You will be fully immersed in our day-to-day activities.
As a participant, you will:
- Receive training designed to help you succeed
- Have the opportunity to work on real responsibilities alongside fellow interns and our people
- Each applicant has the opportunity to apply to up to 4 separate business / location combinations in any given recruiting year. Any additional application will be auto withdrawn. In order to apply to an additional opportunity, you must withdraw a current application that has not been turned down.
- A single applicant should not create multiple email addresses to apply to additional opportunities
About the division
Global Investment Research delivers client-focused research in the equity, fixed income, currency and commodities markets.
We are a global team that provides fundamental research on companies and economies, as well as industries, currencies and commodities. Our research analysts are surrounded by dedicated software engineers, data scientists, content designers, and supervisory and operational services teams.
