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 interested interns to join our growing team in the Operations division.
Role Overview: As part of the high-impact quantitative internship embedded within GasCo, this role is designed for exceptional quantitative talent seeking deep exposure to physical energy markets, advanced risk analytics, and real trading dynamics. You will work in a lean, high-performance environment, partnering directly with risk, trading, and technology professionals and contribute to initiatives supporting Singapore's energy security. This internship offers meaningful ownership, analytical challenge, 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:
- Pursuing a Bachelor's 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
- Internship period will be for summer internship (May to Aug 2026)
