Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$434 billion (US$324 billion, €299 billion, £250 billion, and RMB2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S$35 billion of value uplift and bring our mark to market net portfolio value to S$469 billion.

Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations.

Operating on commercial principles, we seek to deliver 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 www.temasek.com.sg.
• For Temasek Review 2025, please visit www.temasekreview.com.sg.
• For Sustainability Report 2025, please visit https://www.temasek.com.sg/content/dam/temasek-corporate/sustainability/2025/Temasek-Sustainability-Report-2025.pdf.

Introduction

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 platforms
•    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

•    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

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