VP Quant Research: Liquidity & Portfolio Exposure

GIC Private Limited

Singapore

On-site

SGD 200,000 - 350,000

Full time

4 days ago
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Job summary

GIC Private Limited is seeking a VP, Quantitative Research Analyst in Singapore to advance liquidity and exposure research. You will develop quantitative tools for liquidity management, back-test investment ideas, and partner with Portfolio Managers to translate research into actionable investment decisions.

Qualified candidates will have 8+ years in quantitative roles, strong Python, and a degree in a quantitative field.

Qualifications

  • 8+ years of quantitative-focused experience in Treasury/markets financing or Prime Brokerage/Financial Resource Management.
  • Strong Python skills and ability to work with large financial datasets.
  • Experience with liquidity risk concepts, financing products, and collateral optimisation.
  • Excellent communication to explain technical work to non-technical audiences.

Responsibilities

  • Develop quantitative tools and analytics to strengthen liquidity management and collateral risk practices.
  • Propose research ideas, formulate hypotheses, and perform data-driven analyses to improve portfolio implementation.
  • Contribute to research process design and toolkit platforming, aligned with enterprise architecture.
  • Collaborate with portfolio managers to translate research into practical investment decisions.
  • Mentor junior analysts and shape the research agenda for senior candidates.

Skills

Python
Statistical modelling
Back-testing
Portfolio construction
Data analysis

Education

Quantitative degree (math/physics/statistics/computer science/finance)

Job description

GIC Private Limited is seeking a VP, Quantitative Research Analyst in Singapore to advance liquidity and exposure research. You will develop quantitative tools for liquidity management, back-test investment ideas, and partner with Portfolio Managers to translate research into actionable investment decisions.

Qualified candidates will have 8+ years in quantitative roles, strong Python, and a degree in a quantitative field.

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