Lead Risk 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.

Overview: MPC has an opportunity for a Lead Risk Quantitative Analyst with a focus on building 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.

Develop and maintain quantitative risk models used to measure portfolio exposures, stress scenarios, and downside risk across commodity markets. Build analytical frameworks that support enterprise risk measurement, concentration analysis, and forward-looking risk assessments. Perform advanced risk analytics and modeling activities, including valuation modeling, exposure simulations, scenario analysis, and sensitivity testing. Document methodologies, validate assumptions, and support ongoing model enhancements. Support price curve and valuation processes by maintaining analytical models, validating market data inputs, performing curve analysis, and assisting with valuation methodologies for physical and financial commodity positions. Deliver actionable risk analytics and decision-support insights by evaluating risk-return tradeoffs, portfolio impacts, and scenario outcomes for trading, origination, optimization, and strategic business initiatives. Partner with Commercial, Risk Oversight, Finance, and Data teams to translate business challenges into quantitative solutions. Communicate model outputs and analytical findings clearly to both technical and non-technical stakeholders. Support model governance and analytical standards by documenting models, performing back-testing and validation activities, and ensuring transparency, accuracy, and consistency in analytical outputs. Research and apply advanced quantitative techniques such as Monte Carlo simulation, stochastic modeling, optimization methods, volatility analysis, and machine learning approaches where appropriate to enhance risk measurement capabilities.

Bachelor’s degree required. Business, Accounting, Finance, Mathematics, Engineering, Economics or a related discipline preferred. Six (6) years of experience required in analytical modeling. Preferred System Experience: Power BI, Monte Carlo simulation, RDW Prefer prior experience in commercial, economics, risk oversight, or financial/analytical modeling. As an energy industry leader, our career opportunities fuel personal and professional growth. Location: Findlay, Ohio Additional locations: Houston TX One Allen Center, San Antonio, Texas Job Requisition ID: 00023337 Location Address: 539 S Main St Education: Employee Group: Full time Employee Subgroup: Regular 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 condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship   or any other status protected by applicable federal, state, or local laws.