Senior Associate, Risk Management (Portfolio Risk)

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.

The Senior Associate (SA) sits within the Portfolio Risk team, working alongside Market Risk, Credit Risk, and Investment Review teams. The SA plays a critical role in executing the firm's risk framework and is responsible for the independent execution of established procedures, providing robust analytical support on complicated topics, and ensuring the operational integrity of the portfolio risk framework.

Contribute to Research and Thematic Analysis

• Conduct research into emerging macro themes, geopolitical developments, or structural trends as directed, evaluating their potential impact on portfolio assets.
• Run bespoke analytical models to answer management queries, ensuring high quality and timely delivery of data.
• Analyze and understand the potential implications of the data, providing a thoughtful summary of findings rather than simply repeating report outputs.

Support and Execute the Stress Testing Framework

• Design and develop macro and thematic scenarios to identify key risk drivers. These macro and thematic risk drivers are then used to quantify the bottoms-up impact on country, sector, and company fundamentals
• Support in qualitative and quantitative articulation of scenarios. Independently run and maintain standardized stress tests following established procedures.
• Support the build-out of risk models and take ownership of operationalizing existing models to translate risk drivers into potential impacts across asset classes and the total portfolio.
• Quantify and prepare reports on the potential impact of stress events, ensuring data accuracy and consistency in output.
• Prepare risk assessment data for the portfolio construction process, ensuring that the team has reliable data to inform Senior Management on portfolio actions.  

Monitor Early Warning Indicators

• Independently update and monitor existing quantitative and qualitative risk indicators to signal rising risk levels or market vulnerabilities.
• Deep-dive vulnerability assessments of global financial markets by gathering data and conducting preliminary analysis on cross-market risks.
• Stay abreast of current and emerging market developments to provide context to risk indicator movements.
• Generate factually grounded risk reports and dashboards that support the team in providing decision support to Senior Management.

• Bachelor's or Master's degree in Finance, Economics, Business Administration, or a highly quantitative discipline.
• 3-6 years of relevant experience in Risk Management, Strategy, or Portfolio Management within a Sovereign Wealth Fund, Asset Manager, or major financial institution.
• Ability to develop top-down macro scenarios and translate them into bottom-up fundamental impacts. Proficiency in applying econometric modeling (e.g., regression analysis, time-series forecasting) to validate key risk drivers and quantify their effects on company-level performance.
• Strong understanding and practical experience with valuation methodologies (e.g., DCF modeling). Ability to run and troubleshoot financial models independently.
• Practical working knowledge of financial market databases (e.g., Bloomberg, CapIQ). Programming proficiency (Python, R, or SQL) is a significant advantage.
• Ability to handle standardized procedures and frequently performed analyses independently with high accuracy.
• While not required to lead original insights, the individual must possess the depth of thought to understand the so what behind the numbers—interpreting potential implications rather than just relying on model outputs.
• A high degree of intellectual curiosity and a proactive drive to understand the evolving risk landscape.
• Strong problem-solving skills and the ability to work through ambiguous data sets under the guidance of the AVP.
• A strong team player with the interpersonal skills to collaborate with other teams effectively when tasked.
• Ability to communicate clearly with internal stakeholders when required, representing the team's data and processes professionally.