Quantitative Strategist, Gas & Power

ExxonMobil•Spring, TX

3d•Onsite

About The Position

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.

Requirements

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 commercial stakeholders.
Ability to work effectively in a fast-paced trading environment.

Nice To Haves

Advanced degree (Master's or Ph.D.) in a quantitative discipline.
Experience supporting natural gas, power, LNG, crude oil, refined products, emissions, or environmental markets.
Experience with derivative pricing, volatility modeling, Monte Carlo simulation, stochastic modeling, optimization techniques, or machine learning applications.
Understanding of physical and financial commodity markets, including transportation, storage, basis markets, asset optimization, and structured transactions.
Experience developing models used by trading, origination, valuation, or risk teams.
Familiarity with cloud-based analytics platforms and modern data architectures.
Experience deploying analytical solutions into production environments and maintaining model governance standards.
Ability to partner effectively with traders and commercial teams to solve complex business problems and create competitive advantage.

Responsibilities

Provide quantitative expertise, valuation support, and analytical insight across Gas & Power trading and commercial activities.
Develop and enhance quantitative models supporting gas and power trading, valuation, portfolio optimization, and risk management activities.
Build analytical frameworks used to evaluate market fundamentals, asset economics, forward curves, basis relationships, volatility, and cross-commodity market interactions.
Support the valuation and structuring of complex commercial transactions involving transportation, storage, power generation, supply agreements, tolling arrangements, and other optionality-driven opportunities.
Develop statistical, forecasting, optimization, and simulation models to support trading and commercial decision-making.
Perform scenario analysis, stress testing, and sensitivity analysis to evaluate market risks and commercial opportunities.
Support traders, structurers, and originators through quantitative analysis, pricing support, and market insights.
Develop and maintain analytical tools, dashboards, and quantitative infrastructure used across the trading organization.
Collaborate with technology and data teams to deploy robust, scalable, and production-ready analytical solutions.
Evaluate model performance and implement enhancements to improve predictive accuracy and commercial value.
Communicate analytical findings and model outputs to commercial and technical stakeholders in a clear and actionable manner.
Contribute to analytical best practices, model governance, documentation standards, and continuous improvement initiatives.