Quantitative Analyst – Middle Office

Marathon Petroleum Corporation

. Build and maintain daily and intraday analytical models covering prices, spreads, volatility, and refinery margin economics for assigned markets .

Posted 10/8/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining analytical models for financial markets, with a strong focus on Python and SQL for data processing and model validation. Proficient in stress testing and portfolio risk metrics, ensuring data reliability and effective collaboration with trading teams.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyAnalytical Model DevelopmentStress Testing KnowledgeBacktesting Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Analytical Model DevelopmentForecasting ModelsSignal Generation ModelsBacktestingSensitivity AnalysisBenchmark ComparisonsData Pipeline OptimizationFeature Library DevelopmentPortfolio Risk MetricsReal-Time Dashboard Development

Soft Skills

CollaborationDocumentationProcess Improvement

Industry Keywords

VaRCFaREaRMarket FlowsArbitrage SignalsFreight EconomicsCurve StructuresGovernance StandardsReproducibilityMiddle Office Relationships

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 and 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
Help shape Middle Office relationships and process improvements
Work closely with the Risk Oversight and Performance Measurements Teams to identify opportunities and implement enhancements to existing oversight metrics
Develop and implement analytical models for stress testing the Supply, Trading, & Origination portfolio and calculating portfolio risk metrics, including VaR, CFaR, and EaR

Requirements

What you’ll need

Bachelor’s Degree in Math, Statistics, Economics, Engineering, Computer Science, Finance, or related discipline required
Three (3) or more years of related experience
Experience building, enhancing, and maintaining analytical data models
Proficiency in Python or R
Proficiency in Python and SQL for automated data pipelines
Knowledge of stress testing and portfolio risk metrics, including VaR, CFaR, and EaR
Experience with backtesting, sensitivity analysis, and benchmark comparisons
Experience developing forecasting, signal generation, and predictive models
Experience with data pipelines, real-time dashboards, and trading tools
Experience with feature libraries, market flows, outages, arbitrage signals, freight economics, and curve structures
Experience with model validation, performance monitoring, documentation, governance, and reproducibility

Benefits

Comp & perks

Health, vision, and dental insurance
Paid time off
401k matching program
Paid parental leave
Educational reimbursement
Discretionary company-sponsored annual bonus program