Cross-Asset Portfolio Engineer & Solutions Architect

GIC; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

GIC is seeking a Cross-Asset Portfolio Manager to design and implement systematic models and portfolio solutions for the Total Portfolio. You will research macro alpha models across multiple asset classes and manage relationships with external fund managers.

The role requires solid experience in fixed income, currency markets and advanced data-driven backtesting, plus proficiency in Python or R. Strong English communication is essential for cross-team collaboration.

Qualifications

• At least 3 years of experience in quantitative research, portfolio management, or external fund investment.
• Deep knowledge of fixed income and currency markets.
• Bachelor’s degree in finance, economics, statistics, or a related quantitative field.
• Strong ability to research, backtest ideas with data and validate models.
• Proficient in Python or R for model development and analysis.
• Excellent English writing and verbal communication.

Responsibilities

• Design, build and implement systematic models, portfolio solutions and investment frameworks.
• Research and implement macro alpha models across fixed income, FX, equities, and commodities.
• Manage existing multi-asset models and strategies in futures and swaps with risk considerations.
• Manage relationships with external fund managers.

Skills

Quantitative research

Portfolio management

External fund investment

Python or R coding

English communication

Education

Bachelor's degree in finance, economics, statistics, or related quantitative field

Tools

Python

R

Job description

GIC is seeking a Cross-Asset Portfolio Manager to design and implement systematic models and portfolio solutions for the Total Portfolio. You will research macro alpha models across multiple asset classes and manage relationships with external fund managers.

The role requires solid experience in fixed income, currency markets and advanced data-driven backtesting, plus proficiency in Python or R. Strong English communication is essential for cross-team collaboration.