VP, Risk Quantitative Analyst

GIC; Singapore; Hybrid; SGD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible work from home arrangements

Professional growth opportunities

Job summary

GIC in Singapore seeks a Risk Quant to develop next-generation risk analytics capabilities. This position involves deep quantitative research and advancing risk methodologies across asset classes. The successful candidate will work with various teams to ensure effective risk measurement and management.

Ideal applicants will have 8+ years of relevant experience, a graduate degree in a quantitative discipline, and proficiency in programming languages such as Python and C++. This role offers a collaborative environment where innovative ideas are welcomed.

Qualifications

• At least 8 years of experience in risk methodology or quantitative research.
• Deep knowledge of quantitative methodologies in areas like derivative pricing and portfolio optimization.
• Strong technical skills in developing analytical prototypes.

Responsibilities

• Conduct risk methodology research and development.
• Evaluate existing methodologies for robustness and accuracy.
• Translate complex investment questions into quantitative research frameworks.

Skills

Quantitative research

Risk modelling

Stakeholder communication

Python programming

Education

Graduate degree in a quantitative or technical discipline

Tools

C#

C++

Job description

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations 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.

Risk and Performance Management Department (RPMD)

In RPMD, we work collaboratively across teams to identify and address potential blind spots, ensuring that all relevant risks are considered and duly addressed.

Enterprise Risk and Performance

The Enterprise Risk and Performance (ERP) team within RPMD is responsible for integrated total portfolio risk management across investment, liquidity, leverage, sustainability, and other transversal risks. The team delivers independent assessments of investment risks and performance drivers, provides constructive challenge on portfolio design and capital allocation decisions, and leads the strategic development of total portfolio risk analytics and model risk management capabilities.

What Will You Do As a Risk Quant

This role offers the opportunity to contribute to the development of GIC’s next-generation risk analytics capabilities through deep expertise in risk methodology, quantitative research, model development, and new computation. The role sits within the Enterprise Risk Performance team and focuses on advancing the firm’s enterprise-level portfolio risk methodologies across asset classes. The successful candidate will be deeply involved in risk methodology research, model design, implementation, validation, and enhancement. In addition, the role will contribute to product management activities to help translate research outcomes and quantitative models into scalable risk analytics products for business users.

This is a highly quantitative role suited for an individual who combines strong risk modelling expertise with practical experience in computation, analytics implementation, and stakeholder engagement. The candidate should be comfortable working closely with risk managers, portfolio managers, quantitative researchers, tech teams, and product managers.

Key Responsibilities

• Risk methodology research and development
• Conduct research on enterprise risk methodologies across public and private markets, with a focus on institutional portfolio risk measurement.
• Develop proof-of-concept studies and research code for new methodologies, model assumptions, calibration approaches, and analytical techniques.
• Evaluate existing methodologies and identify opportunities to improve robustness, explainability, accuracy, and business relevance.
• Research and assess emerging topics, industry practices, and academic developments relevant to portfolio risk analytics.
• Work closely with risk managers and investment teams to translate complex investment and risk management questions into quantitative research frameworks and practical analytical recommendations.
• Provide research code, test cases, calculation logic, sample outputs, and validation criteria to support technology implementation.
• Methodology validation: Review enterprise risk methodologies to assess model assumptions, data requirements, calibration choices, computational considerations, and limitations to validate methodology soundness.
• Provide guidance on appropriate use, interpretation, and limitations of risk models and analytics.
• Stakeholder engagement and advisory: Communicate complex risk methodologies clearly to both technical and non-technical stakeholders.
• Support senior stakeholders in understanding the impact of methodology choices on portfolio risk measurement and decision-making.
• Contribute to internal knowledge sharing on risk methodology, model validation, and emerging research topics.
• Product management contribution: Work with product managers and business stakeholders to translate approved methodologies and research outcomes into risk analytics product requirements.
• Contribute to use case definition, feature prioritisation, acceptance criteria, product design, and UAT for methodology-driven enhancements.
• Partner with technology and data teams to clarify methodology requirements, data dependencies, analytical logic, and expected outputs for product delivery.
• Contribute to product roadmap discussions by identifying opportunities to embed new research, models, and analytical capabilities into the platform.

What qualifications or skills should you possess in this role?

• Graduate degree (Master or above) in a quantitative or technical discipline such as Financial Engineering, Mathematics, Physics, Statistics, Engineering or Computer Science.
• At least 8 years of experience in risk methodology, quantitative research, risk analytics, portfolio analytics, model validation, or financial modelling within an asset manager, sovereign wealth fund, hedge fund, bank, financial institution, or financial technology firm. Experience with institutional multi-asset portfolios and enterprise-level risk analytics would be ideal.
• Deep knowledge of quantitative methodologies over two or more areas such as derivative pricing, risk measuring, public/private asset valuation, portfolio optimisation, economic models, time series, statistical models, machine learning, NLP/LLM, multi-modal AI, agentic AI, etc. The candidate should be able to assess model assumptions, calibration methods, data dependencies, limitations, and practical application in an investment context.
• Strong technical and computational skills are required (Python, C#, C++, etc.) with the ability to develop research code, analytical prototypes, proof-of-concept studies, and validation tools.
• Strong communication, stakeholder management, and advisory skills. The candidate should be able to explain complex quantitative concepts to senior stakeholders, risk managers, investment professionals, product managers, and technologists. They should be intellectually curious, rigorous, structured, and comfortable working on new research topics while balancing methodological depth with practical business relevance.

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams – be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guide us in how we make our day‑to‑day decisions. We strive to inspire to make an impact.

Flexibility 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

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please email [e-mail] at any point of the application or interview process if adjustments need to be made due to a disability.

Our PRIME Values

GIC’s PRIME Values act as our compass, enabling us to fulfil our fundamental purpose and objectives. They govern our behaviours, decision making, and focus. PRINCIPLES: Prudence, Respect, Integrity, Merit and Excellence.