
Portfolio Manager, Total Fund Management (AIA Investment Management)
- Singapore
- Permanent
- Full-time
- Manage and monitor multi-asset portfolios, ensuring alignment with investment objectives, risk tolerances, and regulatory constraints
- Contribute to tactical asset allocation decisions, trade implementation, and rebalancing strategies
- Develop and execute FX/derivatives (e.g. futures, options, swaps) strategies
- Monitor FX/derivatives risk and ensure compliance with internal and regulatory guidelines
- Utilize and integrate internal and external research to enhance existing investment framework
- Support the development and maintenance of quantitative tools for portfolio construction and tactical asset allocation decision making
- Perform quantitative analysis to support idea generation, portfolio construction and risk management
- Apply programming skills (e.g., Python, R, SQL, or VBA) to automate processes, integrate datasets, and enhance investment analytics
- Work with the project team, to coordinate and define the Team’s requirements, ensuring the platform supports investment decision making workflow efficiency and reporting needs
- Collaborate with stakeholders across investment, trading, risk and performance, product, operations, and distribution teams to enhance trading processes, portfolio risk monitoring and performance attribution of multi-asset portfolios
- Communicate investment views, portfolio positioning, and performance drivers to internal and external stakeholders
- Support client meetings and marketing efforts with clear and insightful materials
- Ideal candidate would have around 10 years of relevant investment experience in multi-asset portfolio management at a buy-side institution
- Direct experience managing multi-asset portfolios, including dynamic asset allocation and rebalancing
- Experience with FX/derivatives (e.g. futures, options, swaps) is preferred
- Experience with semi-liquid private strategies or liquid alternatives strategies will be viewed favorably
- Bachelor’s degree or higher. Degree in finance, economics, engineering, mathematics, or a related quantitative field will be viewed favorably
- Advanced degree (e.g. MSc in Financial Engineering, Applied Mathematics, Data Science or related disciplines) is preferred
- Professional certifications such as CFA will be viewed favorably
- Strong quantitative and analytical skills
- Programming experience in one or more languages (e.g. Python, R, VBA, SQL)
- Proficiency with Bloomberg and Aladdin would be a plus
- Well versed in Microsoft Office (Excel, PowerPoint)
- Excellent communication and presentation skills
- Strong stakeholder management skills and ability to work cross-functionally with investment, product, and risk teams
- High attention to detail, disciplined education, and sound judgement
- Team player with demonstrated ability to thrive in a collaborative, fast-paced, and performance-driven environment