Natural Gas Modeling Analyst - Global Trading Analytics
No salary listed
Mid
Bachelor's, Master's, PhD
Spring, TX, USA
In Person
Data & AnalyticsData Science, Data Analysis
About the job
Requirements
- A Bachelor's, Master's, or PhD degree in Engineering, Economics, Mathematics, Statistics, Operations Research, Energy Systems, Finance, or a related quantitative discipline is required.
- Hands-on experience utilizing the Gas Pipeline Competition Model for North American natural gas market analysis, forecasting, and commercial decision support is required.
- Strong understanding of North American natural gas markets, including supply and demand fundamentals, storage dynamics, pipeline operations, transportation markets, and regional basis relationships is required.
- Experience building and maintaining market balance models, supply and demand models, flow models, forecasting frameworks, and fundamental market analysis tools is required.
- Demonstrated ability to develop market views and translate analytical outputs into actionable commercial insights, trading recommendations, and portfolio strategies is required.
- Strong understanding of natural gas transportation economics, storage economics, basis markets, arbitrage opportunities, and physical asset optimization is required.
- Experience integrating and analyzing large datasets, including weather data, pipeline flow data, storage data, production data, market pricing data, and forward curve information is required.
- Proficiency in Python and experience with quantitative analysis libraries such as pandas and NumPy are required.
- Strong SQL skills and experience working with large-scale datasets, data pipelines, and database environments are required.
- Experience conducting statistical analysis, time-series analysis, scenario modeling, forecasting, and sensitivity analysis is required.
- Ability to communicate complex quantitative and market concepts effectively to both technical and commercial stakeholders is required.
- Demonstrated ability to work collaboratively in a fast-paced commercial and trading environment while managing multiple priorities is required.
Responsibilities
- Develop, maintain, and enhance Gas Pipeline Competition Model-based models supporting North American natural gas market analysis, trading, asset optimization, and commercial strategy.
- Build and maintain natural gas supply and demand models incorporating production, pipeline flows, LNG exports, industrial demand, power generation demand, residential and commercial consumption, and storage dynamics.
- Develop regional and basin-level market balance views across Henry Hub, Permian, Northeast, Midcontinent, Gulf Coast, Western Canada, and other major North American trading hubs.
- Analyze pipeline constraints, transportation capacity utilization, flow dynamics, congestion events, and basis market behavior to identify commercial and trading opportunities.
- Deliver short-, medium-, and long-term market forecasts and fundamental views supporting trading strategies, portfolio positioning, and risk management decisions.
- Support optimization of physical and financial portfolios, including storage injection and withdrawal strategies, transportation capacity utilization, basis optimization, and contractual optionality.
- Partner with traders, originators, and structurers to translate market fundamentals and modeling outputs into actionable commercial insights, trade ideas, and positioning recommendations.
- Evaluate structured natural gas transactions, transportation agreements, storage contracts, and other commercial opportunities through quantitative and fundamental analysis.
- Build and maintain Python-based analytical frameworks, data pipelines, and modeling tools that improve the scalability, transparency, and efficiency of market analysis.
- Conduct statistical analysis, scenario analysis, sensitivity testing, and forecasting exercises to assess market risks and opportunities.
- Evaluate model performance through validation, back-testing, and continuous enhancement to improve forecast accuracy and commercial value.
- Collaborate with data engineering teams, quantitative analysts, and global trading organizations to develop robust, scalable, production-ready analytical solutions.
- Produce market commentary, presentations, and analytical reports that communicate market dynamics and modeling outputs to commercial stakeholders.
Desired Qualifications
- An advanced degree in a quantitative, engineering, economics, or energy-related discipline is preferred.
- Extensive experience applying Gas Pipeline Competition Model modeling within a natural gas trading organization, energy company, consulting firm, or market analytics organization is preferred.
- Experience supporting natural gas trading, marketing, origination, asset optimization, or commercial strategy functions is preferred.
- Knowledge of LNG markets, power markets, renewable generation impacts, and cross-commodity market relationships is preferred.
- Experience evaluating storage assets, transportation portfolios, basis optimization strategies, and structured natural gas transactions is preferred.
- Familiarity with machine learning techniques, advanced forecasting methodologies, and quantitative analytics frameworks is preferred.
- Experience with cloud-based analytics platforms, modern data architectures, and large-scale data processing environments is preferred.
- Familiarity with software engineering best practices, including version control, testing, documentation, and model deployment, is preferred.
About the company
ExxonMobil produces oil and natural gas and manufactures fuels, lubricants, and chemicals for transport operators, industrial customers, and consumers around the world. Its businesses span resource exploration and production, refineries that turn crude oil into fuels, and plants that make plastics and other chemical materials. The company sells products through wholesale supply agreements and the Exxon, Esso, and Mobil brands, including motor oils for vehicles and machinery. It also sells services that capture, transport, and store industrial carbon dioxide underground. The merged company formed in 1999 from Exxon and Mobil, with roots in earlier oil businesses, and is headquartered in Spring, Texas.
Company Size
10,001+
Company Stage
N/A
Total Funding
N/A
Headquarters
Irving, Texas
Founded
1999
Get referred to ExxonMobil
See people who can refer or advise you
Simplify's Take
What believers are saying
- Investment has cash backing: ExxonMobil generated $23.6 billion of operating cash flow in the June 2026 quarter.
- ExxonMobil is commercializing carbon storage: its second Louisiana operation started in February 2026.
- Eligible U.S. employees build retirement savings: ExxonMobil contributes 7% of salary when workers contribute 6%.
What critics are saying
- Oil prices drive ExxonMobil's results: higher crude prices added $4.2 billion to upstream earnings in the June 2026 quarter.
- U.S. starting vacation is limited: ExxonMobil lists a two-week base allowance that increases with service.
- ExxonMobil's workforce contracted: February 2026 reporting showed regular employees fell from 61,000 to 58,000 during 2025.
What makes ExxonMobil unique
- ExxonMobil controls a vast shale footprint: its combined Permian holdings span more than 1.4 million net acres.
- ExxonMobil directs Guyana's major offshore field: its affiliate operates Stabroek with a 45% stake.
- ExxonMobil owns carbon-storage infrastructure: its U.S. carbon dioxide pipeline network stretches more than 1,300 miles.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Health Insurance
- Life Insurance
- 401(k) Retirement Plan
- Competitive compensation
- Medical plans
- Maternity Leave
- Retirement benefits
- Annual vacations & holidays
- Day care assistance program
- Training and development program
- Tuition assistance program
- Workplace flexibility policy