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AVP/VP, AI Alpha Group, Quantitative Portfolio Manager

GIC Private Limited

SingaporeFull-timeHybrid

Posted 11 Jun 2026

About this role

Own the portfolio construction process by synthesizing AI-driven research and quantitative signals to outperform market benchmarks. Develop risk management frameworks and partner with AI engineers to build data pipelines for LLM-based investment agents. Requires an advanced quantitative degree and 5-12 years of experience in asset management with a track record in fundamental equity strategies. Must be proficient in Python and possess deep expertise in risk modeling and portfolio attribution.

What they're looking for

Portfolio ConstructionRisk ManagementQuantitative AnalysisFundamental Equity ResearchPythonStatistical ModelingPerformance AttributionGenerative AI

Frequently asked questions

What does a AVP/VP, AI Alpha Group, Quantitative Portfolio Manager at GIC Private Limited do?

Own the portfolio construction process by synthesizing AI-driven research and quantitative signals to outperform market benchmarks. Develop risk management frameworks and partner with AI engineers to build data pipelines for LLM-based investment agents. Requires an advanced quantitative degree and 5…

What skills does this AVP/VP, AI Alpha Group, Quantitative Portfolio Manager role need?

Key skills for this role include Portfolio Construction, Risk Management, Quantitative Analysis, Fundamental Equity Research, Python, Statistical Modeling.

How much does a AVP/VP, AI Alpha Group, Quantitative Portfolio Manager at GIC Private Limited pay?

The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.

Is this AVP/VP, AI Alpha Group, Quantitative Portfolio Manager role remote, hybrid, or on-site?

This role is hybrid, based in Singapore.

How do I apply for this AVP/VP, AI Alpha Group, Quantitative Portfolio Manager role?

You can apply directly on GIC Private Limited's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.