Senior Quantitative Asset Allocation Lead – Singapore

PAN & COMPANY | HEADHUNTER; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Pan & Company Pte Ltd in Singapore seeks a Quantitative Asset Allocation professional to join its growth-focused investment team. The role involves working closely with the CIO to enhance quantitative investment capabilities and enhance decision-making with data-driven insights.

The ideal candidate has 5+ years in quantitative research, multi-asset investing or asset allocation, with strong TAA experience and macroeconomic modelling.

Qualifications

• 5+ years of experience in quantitative research, multi-asset investing or asset allocation.
• Strong experience in Tactical Asset Allocation (TAA).
• Solid understanding of macroeconomic modelling, market regimes and cross-asset relationships.
• Exposure to equities, rates, FX and IG/HY credit."
• Strong Python, R and Excel/VBA capabilities, with good Bloomberg proficiency.
• Experience building scenario analysis, stress-testing, portfolio construction and risk frameworks.
• Ability to translate complex quantitative analysis into clear, actionable investment views for the CIO and investment team.

Responsibilities

• Collaborate with CIO and investment team to strengthen quantitative investment capabilities.
• Develop and maintain models for asset allocation, risk frameworks and scenario analysis.
• Translate quantitative insights into clear investment views for decision making.

Skills

Quantitative research

Asset allocation

Multi-asset investing

Tactical Asset Allocation

Macroeconomic modelling

Cross-asset relationships

Scenario analysis

Stress-testing

Portfolio construction

Risk frameworks

Clear investment views

Communication skills

Tools

Python

R

Bloomberg Terminal

Excel/VBA

Job description

Pan & Company Pte Ltd in Singapore seeks a Quantitative Asset Allocation professional to join its growth-focused investment team. The role involves working closely with the CIO to enhance quantitative investment capabilities and enhance decision-making with data-driven insights.

The ideal candidate has 5+ years in quantitative research, multi-asset investing or asset allocation, with strong TAA experience and macroeconomic modelling.