We are working with an established family office and a growing investment platform to hire a Quant-focused Investment Manager to drive asset allocation and portfolio construction across multi-asset strategies.
This is a high-impact role suited for individuals with strong quantitative, analytical, and investment experience, looking to sit at the intersection of data science and portfolio strategy.
Key Responsibilities
- Develop and implement asset allocation strategies across multi-asset portfolios
- Build and enhance quantitative models for portfolio construction, optimisation, and risk management
- Conduct macro and market analysis to support investment decisions
- Monitor portfolio exposures, performance, and risk metrics
- Collaborate with investment teams on strategy development and idea generation
- Leverage data analytics, Python, and other tools to improve decision-making frameworks
Ideal Profile
- 5–10+ years of experience in asset allocation / portfolio management / quantitative research
- Strong background in quantitative modelling, statistics, or financial engineering
- Proficiency in Python, Excel, and data analytics tools
- Solid understanding of multi-asset investing (equities, fixed income, alternatives)
- Strong knowledge of risk frameworks and portfolio optimisation techniques
- Advanced degree in Finance, Mathematics, Engineering, or related field preferred
Why Consider This Opportunity
- Opportunity to play a key role in portfolio strategy and asset allocation decisions
- Strong exposure to multi-asset and alternative investments
- Dynamic and intellectually stimulating environment
- Collaborative and forward-looking investment platform
Confidential Search
If you are interested in learning more, or would like to refer a suitable market professional - please reach out directly to [Confidential Information] for a confidential discussion.
Company Name: Hudson RPO (Singapore) Pte Ltd; Company EA Licence number: 18C9146; Consultant EA name (Tan Thong Leong) and Consultant's EA Personnel number: R26159563
