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Quantitative Strategist, Gas & Power

Job in Spring, Harris County, Texas, 77391, USA
Listing for: Exxon Mobil Corporation
Full Time position
Listed on 2026-10-17
Job specializations:
  • Finance & Banking
    Financial Analyst, Data Scientist, Economics
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

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For well over a century, Exxon Mobil 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, Exxon Mobil is truly the leader.

We don't stop at  good enough.  We are committed to doing what's right, even if it's difficult or unpopular. We hold ourselves to high standards, challenge what's possible and invest in innovation to meet society's critical needs.

Real change begins with bold questions, drive, and ambition. Here, your talent, determination and contributions shape how far you'll go and the impact you'll make along the way.

Our future success depends on exceptional people. We invest in developing talent through meaningful work, challenging assignments, mentorship, and experiences that help build the next generation of leaders.

Our Culture

We are uniquely Exxon Mobil. Integrity, care, excellence, resilience and courage, these core values determine how we work every day. At Exxon Mobil, our values aren't just words— they're how we show up, focused on delivering the right answer, the right way, every day.

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…
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