AVP/VP, Fixed Income and Multi Asset, AI Quant – Portfolio Manager

About the Opportunity

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Fixed Income and Multi Asset

Our team employs a broad range of investment strategies that span macro, credit, and quantitative investing, including multi-asset, benchmark-agnostic, constrained, indexed, and thematic strategies.

Multi Asset Quant Solutions

The team develops and manages systematic alpha strategies and portfolio solutions that apply quantitative and AI methods to maximize GIC’s unique competitive advantages. We draw on differentiated datasets, cross-assets insights and an integrated fundamental-quantitative approach. We capitalize on market inefficiencies and evolving market dynamics to deliver risk-adjusted returns and mitigate drawdowns across Fixed Income & Multi-Asset portfolios.

Responsibilities

• Co-design and develop next-generation investment strategies powered by AI/ML, agentic frameworks, foundation models, and cross-asset world models within the team
• Develop modular AI agents across the investment process (Ideation, research, portfolio construction, implementation and monitoring)
• Manage and run the new investment strategies and processes
• Help define and shape team’s data strategies
• Partner closely with fundamental PMs, quantitative strategists, data scientists, data engineers and technologists to develop the AI/ML powered new investment strategies and processes
• Communicate research insights, model explainability, and portfolio performance clearly to stakeholders

About You

The ideal candidate is passionate about applying LLMs, agentic architectures, and modern data-science techniques to transform how quant investing is conducted. You bring strong technical depth in LLMs and machine-learning frameworks, a solid grasp of the end-to-end quantitative investment process, and prior experience in systematic risk-taking.

Eligibility

Advanced degree (PhD or Master’s) in quantitative discipline: Computer Science, AI/ML, Applied Mathematics, Statistics, Financial Engineering, Physics or related fields. Strong foundation in AI/ML especially Deep learning, foundation models, LLMs, reinforcement learning, time-series modelling and causal ML. Experience in systematic alpha research and portfolio management. Proficiency in Python and ML frameworks plus familiarity with scientific computing stacks. Experience building AI agents, automated research pipelines, or decision-support capabilities is a strong plus. Familiarity with LLM fine-tuning, RAG. Strong first-principles thinker with creativity to explore unconventional data or modelling approaches. Comfortable operating at the frontier of both AI and systematic investing. High integrity, intellectual curiosity, resilience, and willingness to experiment. Strong communication and coordination skills, with the ability to work effectively across internal and external engineering teams.

Benefits

• Empowered to push boundaries and pursue innovative ideas
• Professional growth opportunities
• Flexible work arrangements
• Supportive and diverse work environment

About Company

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. We believe in flexibility to allow our teams to do their best work and be their best selves. GIC is an equal opportunity employer that values diversity and does not discriminate based on various factors. We strive to inspire and make an impact.