Quantitative Risk Intern

Company Overview:

GasCo is Singapore's trusted energy enabler, committed to ensuring a secure, stable, and competitively priced gas supply to meet the nation's electricity needs. Established under the Energy Market Authority's initiative to centralise gas procurement, GasCo plays a vital role in safeguarding national energy security and supporting Singapore's economic continuity.

We are looking for motivated interns to join our growing Operations division.

Role Overview: This internship is designed for strong quantitative talent seeking exposure to physical energy markets, risk analytics, and trading dynamics. You will work in a lean, high-performance environment, partnering with risk, trading, and technology professionals to support initiatives that strengthen Singapore's energy security. The role offers hands-on analytical work, meaningful ownership, and exposure across key business areas.

Role Responsibilities:

Quantitative Modelling & Risk Analytics

• Develop and deliver advanced quantitative solutions within the COO function
• Apply rigorous statistical, mathematical, and computational techniques to design and implement risk measures, including but not limited to Monte Carlo simulation frameworks, stress testing & scenario analysis, optimisation models, and valuation of complex & non-linear trading structures

Automation & Data-Driven Risk Processes

• Drive automation and scaling of risk processes using programming and data analytics tools
• Enhance efficiency and robustness of risk measurement, reporting, and analytics workflows

Systems Integration & Cross-Functional Collaboration

• Work closely with IT, trading, and control functions on model implementation, system integration, and data architecture

Trade Lifecycle & Risk Support

• Gain end-to-end exposure to deal lifecycle, supporting areas such as product control, trade operations, and enterprise risk management

Role Requirements:

• Currently pursuing an undergraduate or master's degree in Quantitative Finance, Financial Engineering, Mathematics, Applied Mathematics, Statistics, Actuarial Science, Physics, or a related quantitative discipline
• Strong hands-on experience with quantitative modelling and analytics tools
• Proficient in Python and SQL; exposure to object-oriented programming (e.g. C++, Java, etc.) is highly advantageous
• Ability to think abstractly, model uncertainty, and translate theory into production-ready solutions
• Good communication skills with the ability to work collaboratively with cross-functional teams
• Highly adaptable to evolving requirements, analytical, and inquisitive, with the ability to thrive in a fast-paced, high-stakes trading environment
• Available for a full-time (5-days/week) internship commitment
• Able to commit from January to June 2027