Data Analytics - Engineering Intern, Performance Analytics (Jan - Jun 2027) 工作, Temasek 公司招聘中 - Ricebowl

Location:
SG, 238891

Group: Portfolio Strategy & Risk Group
Department: Quant Strat & Perf Analytics
Section: Quant Strat & Perf Analytics
Job Type: Intern
Req ID: 12169

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations. We seek to build a resilient and forward-looking portfolio that will deliver good sustainable returns over the long term.

We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia.

For more information on Temasek, please visit *************
For Temasek Review 2026, please visit *************
For Sustainability Report 2026, please visit *************

Responsibilities

Implement and help build research and tracking platforms, incorporating data pipelines, analytics engines and visualization tools. Architect and design data pipeline infrastructure to facilitate data ETL processes, and query financial data from a variety of data sources
Work with internal and external tech teams to manage and operationalize these platform
Maintain / design our in-house databases to fulfill the needs of the various analytics workstreams / products
Explore and develop ways/containers to house analytics engines to facilitate workflows.
Identify and implement improvements to automate manual processes, optimize speed, efficiency, and scalability
Set up / maintain version control for the analytics codebase
Help with research on analytics projects which would include studying industry trends and financial markets, correlating different exogenous variables to performance.
Requirements

Able to commit full-time for a minimum of 20 weeks. Interns who are able to commit to a full-time (5 days/week) or a minimum of part-time (4 days/week) internship is strongly preferred.
Bachelor degree in Computer Science, Engineering, Business or related fields.
Proficiency in Python, R, and SQL
Experience with AWS, S3, JFrog, Kubernetes preferred
Experience with QlikSense, Snowflake, Tableau, and Git preferred but not required
Understanding of portfolio theory, statistics, financial modeling, and traditional financial performance metrics would be helpful but not required
Proficiency in Microsoft Word, Excel, and PowerPoint