Quantitative Asset Allocation Professional

Role summary

An established Asian single-family office with assets under management of approximately USD X00 million is looking for a quantitative asset allocation specialist. The role sits alongside the CIO and the broader investment team and focuses on building robust, evidence-based views that support long-term portfolio decisions. The office places strong importance on capital preservation and on further institutionalising its investment process.

The position is centered on strengthening quantitative capabilities across a multi-asset portfolio. The selected candidate will design and apply analytical models that help shape allocation decisions across global asset classes, while turning complex data into practical recommendations that fit the family’s investment goals and risk tolerance.

Key responsibilities

• Create and upkeep quantitative frameworks that inform both strategic and tactical allocation decisions.
• Research multiple asset classes, including equities, government and corporate fixed income, FX, rates, and alternative investments.
• Review macroeconomic and microeconomic indicators to support regime-based allocation approaches.
• Develop scenario analysis and stress-testing tools for a range of market conditions, such as currency moves, interest-rate cycles, and political or regulatory shocks.
• Work closely with the CIO and investment team to bring quantitative insights into a fundamentally driven investment process.
• Improve portfolio construction methods, risk controls, and performance attribution reporting.
• Strengthen the underlying data setup, research workflow, and reliability of the models over time.

Requirements

• At least 5 years of experience in quantitative research focused on multi-asset investing.
• Background in tactical asset allocation is strongly preferred.
• Solid understanding of macro modelling, cross-asset linkages, and regime-based analysis.
• Exposure to investment-grade and high-yield credit markets is a strong advantage.
• Advanced programming ability in Python and R, along with strong Excel macro skills, is required.
• Hands-on experience with Bloomberg tools and systems.
• Ability to convert complex datasets into usable investment ideas within a fundamental investing framework.
• Strong verbal and written communication skills, including the ability to explain quantitative findings to non-technical audiences.

Additional information

Interested candidates may share their resumes with Chong. The employer details provided are Pan & Company Pte Ltd, licence number 18S9074, registration number R1987417.