Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Partner with portfolio managers and analysts in the External Managers Department, applying quantitative and data-driven techniques, including AI/ML, to enhance the underwriting, sizing, and monitoring of external managers. Your work will involve quantitative research, idea generation, due diligence, portfolio construction, monitoring, and performance attribution to improve risk-adjusted returns.

Responsibilities

• Deliver deep research on portfolio topics, typically as short white papers, and cross-pollinate applications, analysis and insights across investment teams.
• Work directly with PMs to analyze markets, strategies, and allocations to create conviction in allocations, support underwriting, and landscape new investment areas.
• Support the investment team in portfolio construction, risk budgeting, and factor analysis.
• Conduct data-driven research to identify dislocations and their drivers, and to understand how market regimes and macro drivers bear on managers' alpha cycles.
• Apply AI/ML to structured and unstructured manager information and contribute to building agents to enhance the department’s investment process.
• Develop analytics and applications that begin as research and productionize recurring work, ensuring it is documented and version controlled.
• Contribute to the department's shared libraries, documentation, and analytical standards.

Requirements

• Advanced degree (master’s or PhD preferred) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Engineering, Financial Engineering or Economics.
• Relevant experience in quantitative research and analysis, ideally applied to equities and/or manager/fund analysis.
• Experience with the assessment of external managers is an advantage.
• Strong expertise in data integration for investment analysis and in quantitative portfolio construction, risk modelling and performance attribution.
• Excellent communication skills, with the ability to understand and cater to the needs of portfolio managers and analysts, and to translate quantitative results into actionable investment insight.

Skills

• Python
• SQL
• Data visualization
• Databricks or similar
• Cloud/lakehouse workflows
• Git-based development
• Modern AI/ML and LLM tooling

Location

• Global

Work Type

• Hybrid

Experience Level

• Advanced

Education Level

• Master's degree
• PhD

Salary/Compensations

• $200,000 - $280,000

Benefits

• Competitive compensation package
• Bonus potential based on performance
• Professional growth opportunities
• Empowerment to pursue innovative ideas

About the Company

• GIC is one of the world’s largest investors and sovereign wealth funds.
• Invests in more than 40 countries globally across asset classes and businesses.
• Offers exposure to an extraordinary network of the world’s industry leaders.
• A leading global long-term investor working for Singapore’s financial future and communities worldwide.
• PRIME Values: Prudence, Respect, Integrity, Merit and Excellence.

Equal Opportunity

• GIC is an equal opportunity employer.
• Believes every individual brings unique diversity of thought and perspectives.
• An inclusive environment yields exceptional contribution.