Quantitative Strategist, Gas & Power (Spring, TX, US, 77389)

About us For well over a century, ExxonMobil has been at the heart of creating and growing a modern world. We embrace the power and promise of technology, pushing the boundaries of what's possible. For billions around the world, lives are better and last longer because of the innovative problem solving and reliable energy we provide. And when it comes to developing industrial solutions to reduce carbon emissions, ExxonMobil is truly the leader.
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What role you will play in our team We are continuing to expand our Global Trading organization and quantitative analytics capabilities. We are seeking an experienced Quantitative Strategist to support our Gas & Power trading, origination, structuring, and portfolio management activities.
This role sits at the intersection of quantitative analytics, market fundamentals, and commercial decision-making. The successful candidate will work closely with traders, originators, structurers, risk professionals, and technology teams to develop valuation models, forecasting frameworks, optimization tools, and analytical capabilities that support trading and commercial activities across North American and global gas and power markets.
The role combines quantitative modeling, commodity market expertise, and commercial insight to identify opportunities, evaluate risk, and provide decision support across a broad range of physical and financial transactions.
What you will do You will provide quantitative expertise, valuation support, and analytical insight across Gas & Power trading and commercial activities. Key responsibilities include:
Developing and enhancing quantitative models supporting gas and power trading, valuation, portfolio optimization, and risk management activities.
Building analytical frameworks used to evaluate market fundamentals, asset economics, forward curves, basis relationships, volatility, and cross-commodity market interactions.
Supporting the valuation and structuring of complex commercial transactions involving transportation, storage, power generation, supply agreements, tolling arrangements, and other optionality-driven opportunities.
Developing statistical, forecasting, optimization, and simulation models to support trading and commercial decision-making.
Performing scenario analysis, stress testing, and sensitivity analysis to evaluate market risks and commercial opportunities.
Supporting traders, structurers, and originators through quantitative analysis, pricing support, and market insights.
Developing and maintaining analytical tools, dashboards, and quantitative infrastructure used across the trading organization.
Collaborating with technology and data teams to deploy robust, scalable, and production-ready analytical solutions.
Evaluating model performance and implementing enhancements to improve predictive accuracy and commercial value.
Communicating analytical findings and model outputs to commercial and technical stakeholders in a clear and actionable manner.
Contributing to analytical best practices, model governance, documentation standards, and continuous improvement initiatives.
What you will bring Degree in Mathematics, Statistics, Physics, Engineering, Financial Engineering, Operations Research, Computer Science, or another quantitative discipline.
Experience developing quantitative models within commodity trading, energy markets, financial markets, utilities, or related commercial organizations.
Strong quantitative, analytical, and problem-solving capabilities.
Experience in valuation, forecasting, optimization, risk analytics, or portfolio modeling.
Strong understanding of statistical techniques, probability theory, simulation methods, and quantitative modeling approaches.
Proficiency in Python and familiarity with modern analytical, visualization, and data-science tools.
Experience working with large and complex datasets to generate actionable business insights.
Ability to translate quantitative analysis into commercial recommendations and decision support.
Strong communication skills and the ability to collaborate effectively with both technical and commerc