Senior Quantitative Analyst

Marathon Petroleum Corporation • Findlay, OH

1d

About The Position

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 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 productionize quantitative capabilities that enhance commercial decision-making on a daily basis.

Requirements

• Bachelor’s Degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Finance, or related discipline required.
• Five (5) or more years of related experience.
• Strong proficiency in Python (pandas, NumPy, statsmodels, scikit‑learn, PyTorch/TensorFlow, 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement.
• Detailed benefit information is available at https://mympcbenefits.com.
• The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level