Build and maintain predictive models for natural gas price spreads, regional basis relationships (e.g., Waha, HSC), and forward curve structure
Apply time series, regression, and ML techniques to detect tradeable patterns in natural gas markets, including weather-demand relationships, storage deviations, and pipeline flow anomalies; backtest and validate rigorously
Collaborate and support the Analytics and Insights team to aggregate and clean data from market feeds, storage reports, pipeline flows, and weather signals, and to automate recurring workflows and maintain dashboards that support real-time trading desk visibility
Maintain natural gas supply-demand balance models across key producing basins (e.g., Permian, Marcellus/Utica) and monitor storage trajectories, pipeline infrastructure developments, and relevant regulatory changes
Translate fundamental context - including freeze-off events, demand shifts, and seasonal storage balances - into inputs that sharpen quantitative model performance
Partner with natural gas traders and originators to embed tools and signals into daily commercial workflows
Collaborate with data engineering and IT to produce and scale analytical tools
Ensure accuracy, consistency, and integrity across models, market databases, and analytical outputs
Distill complex quantitative analysis into clear, actionable insights and communicate effectively with commercial and cross-functional partners
Education and Experience
Bachelor's Degree in Business, Finance, Marketing, Economics, Engineering, Marine or related discipline required. Master's or PhD preferred.
Minimum five (5) years experience in Commercial, Risk, Trading Analytics, Marine, Scheduling, or Marketing required. Quantitative analytics experience in energy, commodities, or financial markets preferred.
Strong proficiency in Python and Excel for data analysis, modeling, and automation.
Experience with statistical modeling, time series analysis, or ML frameworks applied to commodity or financial data.
Preferred Experience:
Direct exposure to natural gas markets, including familiarity with basis pricing, EIA storage dynamics, and pipeline flows
Experience deploying production-grade models or tools to a natural gas or commodities trading desk
Bachelor's or advanced degree in data science, statistics, engineering, mathematics, or a quantitative discipline
Familiarity with data visualization or analytics tools such as Power BI, Tableau, or similar platforms
Requirements
Quantitative Modeling
Statistical Analysis
Python & Data Engineering
Natural Gas Market Knowledge
Supply Demand Analysis
Commercial Awareness
Business Acumen
Action Planning
Data Analysis
Process Efficiency Improvements
Communication
Results Driven
Teamwork
Location: Houston TX
Relocation: Available
Estimated Travel: ~10%
As an energy industry leader, our career opportunities fuel personal and professional growth.
Location:
Houston, Texas
Additional locations:
Job Requisition ID:
00022181
Location Address:
500 Dallas St Ste 2900
Education:
Employee Group:
Full time
Employee Subgroup:
Regular
Marathon Pet
Additional Information
An exciting career awaits you
At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.
Position Summary
The Natural Gas Quantitative Analyst delivers advanced quantitative analytics and modeling capabilities to support MPC's natural gas trading and supply strategy. This role sits at the intersection of data and natural gas commodity markets, working with predictive models, automated tools, and market signals that drive commercial decision-making across natural gas pricing, storage, basis relationships, and pipeline dynamics. While grounded in natural gas fundamentals, the role is primarily quant-forward The analyst is expected to bring strong programming and modeling expertise, applying rigorous statistical and computational methods to natural gas market problems.
This position is designed as a key analytics role with direct proximity to natural gas trading activity, requiring strong quantitative judgment, analytical ownership, and close collaboration with traders and origination teams.
Primary Objectives
Partner closely with natural gas traders and originators to integrate quantitative tools and signals into day-to-day execution and strategic positioning
Develop and maintain quantitative models, signals, and tools to support natural gas trading and supply strategy
Apply statistical, ML, and data science methods to identify natural gas pricing dislocations, basis spread opportunities, and storage arbitrage
Automate data workflows and deliver dashboards that enhance real-time natural gas market visibility
Build deep fluency in natural gas fundamentals - including supply/demand balances, pipeline constraints, and storage dynamics - to contextualize and ground quantitative outputs
Marathon Petroleum · Houston, TX