Gas Market Modeling Analyst — GPCM & Trading Insights

ExxonMobil; Spring (TX); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Pension Plan

Savings Plan with 7% company match

Workplace Flexibility programs

Comprehensive medical, dental, and vis

Wellbeing programs

Job summary

ExxonMobil is seeking a highly skilled analyst to support North American natural gas trading and optimization. You will develop GPCM-based models, build supply/demand and market balance views, and deliver forecasts to guide trading decisions.

Strong background in natural gas fundamentals, quantitative modeling, and Python data tools is essential. Collaborative environment and production-ready analytics are emphasized.

Qualifications

• Hands-on experience with GPCM for North American natural gas market analysis.
• Strong fundamentals in natural gas markets, storage dynamics, and basis relationships.
• Experience building market balance, supply/demand, and forecasting models.
• Ability to translate analytical outputs into actionable business insights.
• Proficiency in Python with data libraries (pandas, NumPy) and SQL.

Responsibilities

• Develop, maintain, and enhance GPCM-based models for North American natural gas.
• Build supply/demand, flow, and market balance models with multiple regions.
• Deliver short-, medium-, and long-term market forecasts and views.
• Support portfolio optimization, storage strategies, and basis optimization.
• Translate modeling outputs into actionable trade ideas for traders.
• Create Python-based data pipelines and modeling tools for scalability.

Skills

GPCM modeling

Python

NumPy

pandas

SQL

Time-series analysis

Forecasting

Market analysis

Communication to stakeholders

Education

Bachelor's, Master's, or PhD in quantitative field

Tools

Python tooling

GPCM software

Job description

ExxonMobil is seeking a highly skilled analyst to support North American natural gas trading and optimization. You will develop GPCM-based models, build supply/demand and market balance views, and deliver forecasts to guide trading decisions.

Strong background in natural gas fundamentals, quantitative modeling, and Python data tools is essential. Collaborative environment and production-ready analytics are emphasized.