Global investment company managing S$434B in assets across 9 countries
Temasek is a Singapore-headquartered sovereign wealth fund with S$434 billion in portfolio value, operating across 13 offices in Asia and the West. The tech stack reveals a portfolio-management-first organization: Bloomberg, Capital IQ, Simcorp Dimension, and Snowflake form the analytical backbone, while Python, R, SQL, and Streamlit (newly adopting) support quantitative research and scenario modeling. The hiring mix—dominated by finance and research roles, with emerging data and engineering capacity—signals a shift toward internal tooling and AI-driven decision-making, evidenced by active projects in AI diffusion for portfolio enablement and macro scenario development.
Notable leadership hires: HR Technology Lead, Cloud Platform Lead, Digital Fluency Lead, Trade Support Lead
Temasek manages a diversified, long-term investment portfolio with exposure across Asia, Europe, and North America. The organization operates through dedicated teams covering finance, research, operations, and data analytics, supported by a global office network spanning Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, Singapore, Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC. Core challenges include valuing and monitoring unlisted assets, accelerating investment decision-making, automating portfolio processes, and managing macro exposures such as interest rate and decarbonization risk. Active initiatives focus on governance frameworks, strategic value creation, and deploying AI capabilities to enhance portfolio analytics and decision velocity.
Temasek's net portfolio value is S$434 billion (US$324 billion) as of 31 March 2025.
Temasek operates 13 offices across 9 countries: six in Asia (Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, Singapore) and seven outside Asia (Brussels, London, Mexico City, New York, Paris, San Francisco, Washington, DC).
Bloomberg, Capital IQ, Simcorp Dimension, Snowflake, Tableau, and Qlik Sense form the core analytics infrastructure, complemented by Python, R, SQL, and VBA for quantitative modeling and automation.
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