Senior Quantitative Analyst

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.

This Senior Quantitative Analyst supports MPC’s Global Supply, Trading, and Origination organization by developing high‑fidelity analytical tools, statistical models, and real‑time insights across crude and heavy products, clean products and renewables, freight, NGL, and specialties markets. This role contributes directly to commercial performance by integrating fundamentals, high‑frequency market data, and automated modeling pipelines to generate timely and actionable insights. This position is designed as a key analytics role with direct proximity to trading activity, requiring strong commercial judgment, analytical ownership, and close collaboration with fundamental analysts, traders, risk, and IT to prototype and product ionize quantitative capabilities that enhance commercial decision‑making on a daily basis.

• Build and maintain daily and intraday analytical models encompassing prices, spreads, differentials, volatility, and refinery margin economics.
• Design and implement robust statistical, econometric, and machine learning models for short‑horizon forecasting and signal generation using Python or R.
• Engineer automated data pipelines in Python + SQL feeding real‑time dashboards and trading tools deployed on Azure.
• Construct and maintain feature libraries (calendar effects, flow data, refinery outages, arbitrage indicators, freight economics, curve structures).
• Collaborate with fundamental analysts and traders to identify model opportunities, quantify edge, and test signal value.
• Produce clear visualizations and trading‑ready outputs in Power BI or custom Python/R dashboards.
• Conduct backtesting, model validation, stability analysis, hyperparameter tuning, and performance monitoring.
• Support commercial negotiations and deal structuring through quantitative scenario analysis.
• Work with IT to translate prototypes into scalable, production‑grade tools.
• Maintain documentation, version control, and structured model governance.

• Bachelor’s Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Finance, or related discipline required.
• Five (5) or more years of related experience.

• Familiarity with commodity market structures, pricing, and risk fundamentals
• Experience modeling spreads, differentials, arbitrage economics, refinery margins, or flow‑based fundamentals.
• Experience building high‑frequency or daily forecasting models (Python or R).
• Familiarity with optimization (linear, nonlinear, or mixed‑integer).
• Experience with Git, CI/CD, model deployment, or production‑oriented workflows.
• Curiosity, creativity, and a bias for experimentation and iterative improvement.

• Strong proficiency in Python (pandas, Num Py, stats models, scikit‑learn, PyTorch/Tensor Flow, Nixtla).
• Experience using R for econometrics, forecasting, or modeling workflows.
• Strong SQL skills and experience with cloud environments (Azure preferred).
• Experience with time‑series modeling, including ARIMA/SARIMA, regime switching, volatility modeling, ML models, or deep learning architectures.
• Ability to translate technical analysis into clear commercial recommendations.

Location:

San Antonio, Texas;
Findlay, Ohio;
Houston, Texas

Relocation:
Available

Estimated Travel:
This position grade may vary depending on candidate experience. The successful candidate will be placed at a level commensurate with experience and qualifications.

As an energy industry leader, our career opportunities fuel personal and professional growth.

Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision‑making, age, mental or physical disability, medical…