Quantitative Analyst - Middle Office

Marathon Petroleum Corporation•Findlay, OH

1d•Onsite

About The Position

MPC has an opportunity for a Quantitative Analyst with a focus on building, enhancing and maintaining analytical data models. This role will help develop and implement analytical models for stress testing of the Supply, Trading, & Origination portfolio and calculating portfolio risk metrics including Value at Risk (VaR), Cash Flow at Risk (CFaR), Earnings at Risk (EaR). The position will also work closely with the Risk Oversight and Performance Measurements Teams in Middle Office identify opportunities and implement enhancements to the existing oversight metrics. Middle Office is new to MPC and this is an opportunity to help shape the Middle Office relationships and process improvements. This position is open to Findlay, OH, Houston, TX, and San Antonio, TX. This position is part of a progression with increasing levels of responsibility, competency, and skill. The title and pay grade of the position will be determined by the experience and qualifications of the selected candidate.

Requirements

Bachelor’s Degree in Math, Statistics, Economics, Engineering, Computer Science, Finance, or related discipline required.
Three (3) or more years of related experience.

Responsibilities

Build and maintain daily and intraday analytical models covering prices, spreads, volatility, and refinery margin economics for assigned markets.
Develop and refine short horizon forecasting and signal generation models in Python or R. Perform backtesting, sensitivity analysis, and benchmark comparisons to evaluate model performance, stability and incremental predictive value.
Design and optimize automated Python + SQL data pipelines supporting real-time dashboards and trading tools. Improve data reliability and processing efficiency.
Develop structured feature libraries incorporating flows, outages, arbitrage signals, freight economics, and curve structures. Test new predictive variables and quantify incremental signal value.
Collaborate with fundamental analysts and traders to identify quantitative opportunities and assess edge. Support trade structuring through scenario and sensitivity analysis.
Maintain documentation, model validation frameworks, and performance monitoring dashboards. Contribute to improving governance standards and reproducibility.