Quantitative Analyst Trading Strategies, Gas & Power
Singapore, SG, 98633
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.
What role you will play in our team
If successful, you will be an integral part of our Global Trading Analytics organization, supporting Gas & Power trading activities across regional and global energy markets. We are seeking a highly motivated quantitative analyst with strong modeling, analytical, and trading strategy development capabilities to design and enhance quantitative models, analytical frameworks, and decision-support tools that enable trading, risk management, and commercial optimization.
In this role, you will work closely with traders, quantitative analysts, fundamental analysts, technologists, and risk professionals to identify, develop, evaluate, and implement trading and hedging strategies across gas, power, and related commodity markets. You will contribute to the development of scalable state-of-the-art quantitative solutions that support market analysis, asset optimization, portfolio management, and commercial decision-making in a fast-paced trading environment.
What you will do
- Research, develop, and maintain quantitative models supporting trading strategy development, valuation, portfolio optimization, and risk management across gas and power markets.
- Apply advanced statistical, econometric, and quantitative techniques to identify market opportunities, trading signals, and portfolio optimization strategies.
- Develop analytical frameworks that evaluate market fundamentals, price formation, supply and demand dynamics, volatility, and cross-commodity relationships.
- Partner closely with traders to identify, evaluate, and implement trading and hedging strategies that capture market opportunities and optimize portfolio performance.
- Analyze physical and financial optionality across gas, power, and related commodity markets, translating quantitative insights into commercially actionable recommendations.
- Develop, validate, and maintain valuation models used to assess assets, structured transactions, trading opportunities, and complex commercial exposures.
- Conduct statistical analysis, forecasting, scenario analysis, and back-testing to evaluate trading strategies and improve predictive performance.
- Build and maintain analytical tools, dashboards, and quantitative infrastructure that improve trading efficiency, market understanding, and decision support.
- Support asset valuation and commercial analysis initiatives through quantitative modeling, opportunity assessment, and risk evaluation.
- Provide quantitative expertise on derivatives, structured products, portfolio optimization techniques, and risk management approaches.
- Collaborate with technology and data teams to develop scalable production-ready quantitative solutions and analytics platforms.
- Evaluate model performance, conduct validation exercises, and implement model enhancements to improve analytical accuracy and commercial value.
- Remain current on developments in quantitative finance, machine learning, data science, and commodity market analytics to continually enhance analytical capabilities.
- Communicate complex analytical findings, strategy performance, and model outputs to traders and commercial stakeholders in a clear and concise manner.
- Contribute to the development of quantitative best practices, analytical methodologies, and model governance standards across the organization.
What you bring
- Master's or PhD degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, Physics, Operations Research, or a related quantitative discipline.
- 5+ years of experience in energy trading, commodity trading, investment banking, hedge funds, asset management, or related quantitative trading environments.
- Strong quantitative and analytical problem-solving skills with the ability to develop practical solutions to complex commercial and trading challenges.
- Experience developing quantitative models supporting trading strategy development, portfolio optimization, valuation, and risk management.
- Strong understanding of gas and power markets, market fundamentals, trading strategies, and risk management concepts.
- Knowledge of derivatives pricing, option theory, stochastic processes, statistical modeling, and quantitative finance methodologies.
- Experience with econometric techniques, time-series analysis, forecasting, and machine learning applications within trading environments.
- Proficiency in Python and experience with quantitative analytics libraries such as Pandas, NumPy, SciPy, StatsModels, and Scikit-learn.
- Experience working with large and complex datasets to identify market opportunities and generate actionable business insights.
- Understanding of Monte Carlo simulation, optimization techniques, dynamic programming, and advanced statistical methods.
- Knowledge of portfolio analytics, market risk concepts, performance measurement, and quantitative strategy evaluation.
- Ability to communicate technical concepts effectively to both quantitative and non-quantitative stakeholders.
- Demonstrated ability to work collaboratively in a fast-paced front-office environment while managing multiple priorities.
Preferred Qualifications
- PhD degree in a quantitative discipline.
- Experience supporting gas and power trading desks in a front-office quantitative analytics capacity.
- Knowledge of regional and global gas, LNG, and power markets, including market fundamentals, pricing mechanisms, and trading dynamics.
- Experience developing algorithmic, systematic, or discretionary trading strategies within commodity or financial markets.
- Experience applying machine learning, artificial intelligence, or advanced data science techniques to market forecasting and trading strategy development.
- Knowledge of physical optionality, asset optimization, structured transactions, and commercial strategy evaluation.
- Experience with cloud-based analytics platforms, distributed computing environments, and modern data architectures.
- Proficiency in software engineering best practices, including object-oriented programming, version control, testing, and model deployment.
- Experience collaborating directly with traders and commercial stakeholders to deliver impactful trading and portfolio management solutions.
- Demonstrated ability to translate quantitative research into practical trading applications that create measurable commercial value.
Your benefits
An ExxonMobil career is one designed to last and we provide job rotations throughout your career with us. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. Currently our employees' benefits include long term savings allowance, dental reimbursement, annual health checkups and home ownership assistance plan amongst others and these are updated from time to time.
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