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Quantitative Analytics Manager
Job in
San Antonio, Bexar County, Texas, 78208, USA
Listed on 2026-01-12
Listing for:
Marathon Petroleum Corporation
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst -
Finance & Banking
Data Scientist
Job Description & How to Apply Below
Overview
Quantitative Analytics Manager at Marathon Petroleum Corporation. The role leads a team of quantitative analysts responsible for advanced analytical tools and market insights to inform trading strategies across commercial activities.
At MPC, we’re committed to being a great place to work — welcoming new ideas, encouraging diverse perspectives, developing our people, and fostering a collaborative team environment.
Key Responsibilities- Lead and mentor a team of quantitative analysts supporting front-line commercial and trading teams.
- Translate commercial objectives into clear analytical roadmaps, prioritizing projects based on value, feasibility, and business impact.
- Partner with fundamental analytics, trading, origination, risk, IT and other internal teams to identify opportunities for analytical innovation.
- Provide real-time analytical support and insight for commercial negotiations, deal structuring, asset optimization, and risk management.
- Champion adoption of new analytical technologies, frameworks, and tools.
- Design and validate statistical, econometric, and machine learning models to enhance market understanding and commercial performance.
- Ensure rigorous model governance, documentation, version control, and performance monitoring.
- Bachelor’s degree in a quantitative field (e.g., Applied Mathematics, Statistics, Engineering, Quantitative Finance, etc.) required; advanced degree preferred.
- Eight (8) years of experience in trading analytics, quantitative research, or commercial decision support in energy or commodity markets.
- Proficiency in Python, SQL, and modern data-science toolkits; experience with cloud environments (AWS, Azure, or GCP).
- Deep understanding of energy commodity market fundamentals.
- Experience with derivative pricing, stochastic modeling, time-series forecasting, or optimization techniques (e.g., linear/mixed-integer).
- Strong communication skills and ability to translate complex statistics into business outcomes.
- Curiosity, creativity, and continuous improvement mindset.
Houston, TX
RelocationAvailable
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