MPC is looking to enhance trading performance through statistical modeling, algorithmic strategy development, risk analytics, and real-time decision support across crude, products, freight, and NG/NGL markets
Requirements
- 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)
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
Other
- Bachelor’s degree in a quantitative field (e.g., Applied Mathematics, Statistics, Engineering, Quantitative Finance, etc.) required
- Eight (8) years of experience in trading analytics, quantitative research, or commercial decision support in energy or commodity markets
- Strong communication skills and ability to translate complex statistics into business outcomes
- Curiosity, creativity, and continuous improvement mindset
- Estimated Travel: <10%
