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