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JobsMarathon Petroleum

Senior Quantitative Analyst

Marathon Petroleum

Senior Quantitative Analyst

Marathon Petroleum

3 Locations

·

On-site

·

Full-time

·

1w ago

Required Skills

Python

SQL

Git

Azure

Machine Learning

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.

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.

Key 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.

Education and Experience

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

Preferred 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.

Skills

  • Strong proficiency in Python (pandas, Num Py, statsmodels, scikit‑learn, Py Torch/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, TX / Houston, TX / Findlay, OH

Relocation: Available

Estimated Travel: 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. If you would like more information about your EEO rights as an applicant, click here.

If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. 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.

Equal Opportunity Employer: Veteran / Disability

We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

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About Marathon Petroleum

Marathon Petroleum

Marathon Petroleum is one of the largest petroleum refining companies in the United States, operating refineries and marketing gasoline and other petroleum products. The company also operates a midstream business through MPLX LP, handling crude oil and refined product transportation and storage.

10,001+

Employees

Findlay

Headquarters

Reviews

3.8

22 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

4.0

Management

3.3

73%

Recommend to a Friend

Pros

Good work-life balance and flexible environment

Competitive compensation and benefits

Opportunity for career growth

Cons

Room for improvement in processes

Some organizational bureaucracy

Internal communication could improve

Salary Ranges

31 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Business Operations

0 reports

$79,600

total / year

Base

-

Stock

-

Bonus

-

$67,660

$91,540

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Interview Process

1

Application Review

2

Aptitude/Assessment Test

3

HR Screen

4

Technical Interview

5

Physical Exam

6

Drug Testing

7

Offer

Common Questions

Technical Knowledge

Safety Procedures

Past Experience

Behavioral/STAR

Equipment Operation