Intern - Quantitative Portfolio Strategy
- Internship, onsite
- Eastspring Investments
- Singapore, Singapore
Salary undisclosed
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Eastspring is a global asset manager with Asia at its core. We create a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Eastspring a place where you can Connect, Grow and Succeed.
This research team augments the fundamental investment process with quantitative capabilities at each step of the investment lifecycle, spanning across strategy development, alpha construction, and portfolio/market intelligence. We work directly with the active fundamental Equities and Fixed Income investment professionals.
Key Accountabilities
The intern will work on two-three projects covering the following areas:
This research team augments the fundamental investment process with quantitative capabilities at each step of the investment lifecycle, spanning across strategy development, alpha construction, and portfolio/market intelligence. We work directly with the active fundamental Equities and Fixed Income investment professionals.
Key Accountabilities
The intern will work on two-three projects covering the following areas:
- Expanding the R6 OOP method library for analytics
- Sector-level indicators to accompany a top-down allocation framework
- Portfolio construction workflows for Fixed Income portfolios
- Building apps and dashboards to enable greater self-servicing by investment teams
- Strong interest in financial markets and knowledge on how they function
- Quantitative discipline (eg. Engineering, computer science, data analytics)
- Some prior experience working with financial and investment data
- Proficient in R or Python (writing your own functions, not just utilising open source packages)
- Familiar with SQL
- Experience working with a SQL Server database is a plus
- Experience in R Shiny and/or PowerBI is a plus
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