GIC is seeking to enhance its investment process through quantitative research and analysis to deliver strong investment performance and make better investment decisions.
Requirements
- Relevant experience in quantitative research and analysis.
- Strong expertise in data integration for fundamental company analysis and quantitative portfolio construction.
- Experience with alternative datasets and its application in forming leading indicators.
- Proficiency in R or Python and SQL and data visualization tools.
- Sector specialization and experience with equity sectors are a plus.
- Ability to work independently and as part of a team in a fast-paced environment.
- Experience with AI/ML
Responsibilities
- Partner with portfolio managers and analysts to leverage data, quantitative techniques, AI/ML, 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.
- 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 quality of research and make better investment decisions.
- Harness risks models, quantitative portfolio construction and optimization techniques to provide sizing recommendations.
Other
- 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.
- 4 days per week in the office, with flexibility to choose which days to work from home
- Base salary range for this role is between $130,000 and $220,000
- Bonuses, which may form a meaningful proportion of the total pay package, are determined based on company and individual performance
