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).
- Strong communication skills and ability to translate complex statistics into business outcomes.
- Curiosity, creativity, and continuous improvement mindset.
- Bachelor’s degree in a quantitative field (e.g., Applied Mathematics, Statistics, Engineering, Quantitative Finance, etc.)
- Eight (8) years of experience in trading analytics, quantitative research, or commercial decision support in energy or commodity markets.
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; advanced degree preferred.
- 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.
- Estimated Travel: <10%
- Relocation: Available
