Cross-Asset Portfolio Implementation & Solutions Lead

GIC Private Limited

Singapore

Hybrid

SGD 120,000 - 170,000

Full time

6 days ago
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Job summary

GIC Private Limited in Singapore seeks a Cross-Asset Implementation Portfolio Manager to contribute to research, design and deployment of systematic multi-asset strategies. You will work with portfolio managers, researchers and technologists to bridge models into production.

The ideal candidate has 3–5 years in macro/cross-asset markets, strong coding skills in R or Python, and solid knowledge of fixed income and currency markets.

Qualifications

  • At least 3–5 years of experience in quantitative research, trading and/or portfolio management in macro/cross-asset markets.
  • Knowledge of market microstructure with a focus on fixed income and currency markets.
  • Strong attention to detail and ability to maintain accuracy across portfolios.
  • Technical and coding skills, including proficiency in R or Python.
  • Clear English communication, including presenting strategies and ideas.

Responsibilities

  • Contribute to research to design and validate medium- to high-capacity systematic trading strategies across multiple asset classes.
  • Advance implementation research and develop solutions for multi-asset strategies and instruments.
  • Perform portfolio management tasks including rebalancing, position monitoring and risk management.
  • Develop and improve processes for portfolio management and implementation across instruments, ensuring scalable risk controls.
  • Collaborate with senior portfolio managers, researchers, traders and technologists to productionize models.

Skills

R
Python
Attention to detail
English communication

Tools

R
Python

Job description

GIC Private Limited in Singapore seeks a Cross-Asset Implementation Portfolio Manager to contribute to research, design and deployment of systematic multi-asset strategies. You will work with portfolio managers, researchers and technologists to bridge models into production.

The ideal candidate has 3–5 years in macro/cross-asset markets, strong coding skills in R or Python, and solid knowledge of fixed income and currency markets.

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