Description

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 .

Responsibilities

• Support data analytics initiative to derive investment insights from our fund portfolio through:
• Capturing fund and underlying portfolio company investment and fundamental performance metrics (Portfolio Mining) from fund quarterly reports within specified timelines
• Working with external service provider to validate accuracy of outputs in preparation for data ingestion by analytics engine
• Managing of data analytics workflow including report management/monitoring, ingestion of data into analytics engine and troubleshooting/testing
• Analyzing the data output by analytics engine
• Researching private equity industry trends and observations derived from the data output
• Preparation of quarterly reporting materials using data outputs
• Liaising with internal/external parties on data requests and reports
• Work on new analytics initiatives (e.g. developing new analytics dashboards, refining of existing dashboards and processes)

Requirements

• Diploma/Degree qualification (preferably in finance/accounting discipline if the candidate has no relevant work experience)
• Well-versed in excel especially Vlookup and Index Match
• Basic knowledge of Finance and Accounting concepts (be it from relevant work experience or studies)
• Coding/dashboard building experience (e.g. VBA, Python, R, Tableau, QlikSense, Microsoft Power Automate/BI)
• Must be able to commit to the contract duration
• Meticulous with an eye for detail, able to handle large volume of qualitative/quantitative data