AVP/VP, Quantitative Strategist, Equities in Whitehall

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.

Public Equities (EQ) generate sustainable, superior returns through active investments across global equity markets. Strategies include total return strategies, absolute return strategies, and relative return strategies. Our long-term orientation and strong relationships with corporates provide us with opportunities to capitalise on market volatility to deliver strong investment performance.

We are seeking an experienced professional to join our quantitative strategy team, which delivers data analytics, quantitative research, and portfolio strategy, working closely with a discretionary fundamental investment team focusing on developed markets equities. The ideal candidate bridges both worlds — combining hands-on quantitative equity research with real experience of discretionary fundamental investing.

In this role, you will leverage diverse datasets and apply quantitative and data-driven analytical techniques, including AI/ML, to provide actionable insights and recommendations at the single name and/or sector/country level. These insights will enhance our investment process which spans from idea generation, due diligence, portfolio construction, position monitoring, risk management, and performance analysis.

You will conduct quantitative research and analysis, using diverse datasets to help our investment team understand the impact of trends, drivers, and events on the portfolio. Additionally, you will integrate both structured and unstructured, internal and external data to provide ongoing, data-driven insights, enhancing the investment decision-making and research quality of our PMs and analysts.

You will apply your skills and experience in data, quantitative, and AI tools and techniques, in close partnership with fundamental portfolio managers and analysts, so a genuine interest in fundamental investment debates — and ideally direct experience of them — is important.

What will you do as a Quantitative Strategist?

• Partner with portfolio managers and analysts to leverage data, quantitative techniques, AI/ML, and visualization tools for research and analysis, validating investment hypotheses and providing actionable insights to help screen for investment opportunities and conduct due diligence at the single name and/or sectoral levels.
• Translate fundamental investment hypotheses from PMs and analysts into testable, data-driven analyses, and communicate the results back in investment terms.
• Develop dashboards and visualization tools to provide real-time insights into portfolio performance, macro trends, and company-specific risks.
• Conduct data-driven research and analysis to understand how macro drivers such as interest rates and inflation affect companies and incorporate this understanding into your analysis.
• Utilize quantitative and network information to perform sensitivity and impact analysis of events and reporting.
• Perform ongoing portfolio risk and performance monitoring through the team’s portfolio diagnostic analytics framework.
• Apply data insights and behavioural analytics to help analysts and PMs improve the quality of research and make better investment decisions.
• Harness risk models, quantitative portfolio construction, and optimization techniques to provide sizing recommendations.
• Develop, implement, and maintain models and analytics to provide continuous insights and aid in institutionalising our knowledge.
• Share and cross-pollinate applications, analysis, and tools within and across departments, sharing insights relevant to various investment teams.

What qualifications or skills should you possess in this role?

• Relevant years of hands-on experience spanning both quantitative equity research and discretionary fundamental equity investing — candidates strong in only one discipline are unlikely to be a fit.
• Demonstrated experience integrating fundamental company/industry analysis with quantitative analysis in a live investment process.
• Fluency in fundamental equity analysis (drivers of company earnings, valuation, and sector dynamics) alongside quantitative techniques.
• Experience analysing and using alternative datasets in an equity investment process.
• Proficiency in Python and SQL, and a demonstrated ability to work fluently with data and analytical tools.
• Experience applying AI or ML to equity research.
• Excellent communication skills, with the ability to understand, influence, and obtain buy-in from stakeholders effectively.
• Ability to work independently and as part of a team in a fast-paced environment.

It would be advantageous to have:

• Familiarity with data and source code management practices, such as version control, CI/CD, and unit testing.
• Experience with specific equity sectors or industry specialisation.
• Proficiency with Databricks.

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer. We aim to make our recruitment process accessible to everyone. If you need a reasonable adjustment at any point in the application, assessment, or interview process, please submit a request. All information provided is confidential, restricted to our HR team, and will not impact your candidacy.