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Quantitative Analyst, V&S LNG

Job in Spring, Harris County, Texas, 77391, USA
Listing for: Exxon Mobil
Full Time position
Listed on 2026-07-24
Job specializations:
  • Finance & Banking
    Financial Analyst, Data Scientist, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

If successful, you will be an integral part of our Global Trading Analytics organization, supporting LNG trading, portfolio optimization, and structured commercial activities across global gas markets. We are seeking a highly motivated quantitative analyst with strong valuation, structuring, and modeling capabilities to develop and enhance analytical frameworks, pricing models, optimization tools, and decision‑support solutions that enable commercial decision‑making across LNG and related gas value chains.

In this role, you will serve as a front‑office quantitative partner to LNG traders, originators, and structurers, providing transparent, independent, and commercially actionable valuation expertise. You will evaluate and price embedded optionality within LNG supply and offtake agreements, shipping portfolios, regasification capacity, gas sourcing strategies, and complex structured transactions while supporting real‑time commercial decisions. Success requires the ability to translate sophisticated quantitative analysis into actionable insights that drive trading, optimization, hedging, and portfolio management decisions in a dynamic and evolving market environment.

What you will do
  • Develop, implement, and maintain quantitative valuation and optimization models supporting LNG trading, portfolio management, structured transactions, and commercial decision‑making.
  • Partner directly with LNG traders, originators, and structuring teams to provide real‑time valuation, optionality analysis, and quantitative support for commercial opportunities.
  • Evaluate and price embedded optionality across LNG supply and offtake agreements, destination flexibility, cargo diversion rights, volume tolerances, storage agreements, shipping portfolios, and regasification capacity.
  • Support traders and originators in structuring commercial transactions, including development of pricing methodologies, exposure analysis, valuation approaches, sensitivities, and commercial recommendations.
  • Build analytical frameworks to assess LNG portfolio optimization opportunities across global gas markets, including sourcing, transportation, storage, shipping, and market placement decisions.
  • Develop and enhance pricing, valuation, and optimization models utilizing stochastic methods, scenario analysis, Monte Carlo simulation, and optimization techniques.
  • Analyze market relationships across LNG, natural gas, shipping, storage, and related commodity markets to identify drivers of value, portfolio optimization opportunities, and commercial risks.
  • Support valuation and risk assessment of long‑term LNG contracts, spot transactions, shipping agreements, tolling arrangements, regasification agreements, and other structured commercial opportunities.
  • Advise traders and originators on hedging strategies and risk mitigation approaches by identifying hedgeable and residual exposures across LNG and related gas markets.
  • Provide independent valuation and quantitative challenge to proposed transactions, ensuring robust commercial decision‑making and transparent risk assessment.
  • Conduct back‑testing, model validation, parameter calibration, and assumption analysis to improve model accuracy, robustness, and commercial relevance.
  • Collaborate closely with quantitative analysts, technology teams, and data engineers to develop scalable and production‑ready analytical solutions.
  • Create and maintain valuation tools, optimization frameworks, dashboards, and model infrastructure that improve transparency, efficiency, and front‑office decision support.
  • Participate in commercial discussions with traders, originators, and senior stakeholders, clearly communicating valuation methodologies, optionality drivers, sensitivities, and portfolio impacts.
  • Contribute to the development of quantitative best practices, valuation methodologies, and model governance standards across the organization.
What you bring
  • Master's or PhD degree in Applied Mathematics, Statistics, Financial Engineering, Operations Research, Economics, Physics, Engineering, Computer Science, or a related quantitative discipline.
  • Demonstrated front‑office quantitative experience supporting commodity traders, originators,…
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