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Bachelor’s degree in Economics, Finance, Engineering, Mathematics, Statistics, or a related quantitative field; Master’s degree preferred
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5–10 years of experience in refined products/distillates commercial analytics, trading support, or market analysis within an oil major, trading house, or commodity firm
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Demonstrated track record of providing actionable market intelligence that directly supported trading decisions and commercial outcomes
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Strong written and verbal communication skills; ability to translate complex analysis into clear, executive-ready insights and trader-relevant recommendations
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Proven ability to thrive in a fast-paced, dynamic trading environment with competing priorities and tight deadlines
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High attention to detail with a bias toward action, continuous improvement, and intellectual curiosity
Distillates Market Expertise
Deep knowledge of distillates supply/demand fundamentals, trade flows, pricing mechanisms, blending, product specs, and seasonal patterns
Refining & Value Chain Knowledge
Understanding of refinery operations, process yields, crude diet, cracking economics, refinery margins, and how operational changes impact distillate output and quality
Risk Management & Derivatives
Hedging strategies, derivatives instruments (swaps, futures, options, spreads), VAR concepts, and understanding of how risk tools support commercial decision-making
Quantitative & Analytical
Econometric analysis, statistical modeling, demand/supply forecasting, scenario analysis, backtesting, and supply/demand balance modeling
Python (pandas, NumPy), SQL, VBA, Advanced Excel, API integration, Power Query; familiarity with R, MATLAB, or C++ a plus
Visualization & Dashboarding
Power BI, Tableau, or similar tools for creating trader-facing dashboards, management reporting, and data visualization
Experience with energy trading & risk management systems (e.g., Endur, RightAngle, Allegro, or similar platforms)
Proficiency with Platts, Argus, OPIS, Bloomberg, Refinitiv/LSEG, Kpler, Vortexa, ClipperData, EIA, and IEA data sources
Leadership Experience (Formal & Informal)
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Formal: Prior experience managing or supervising junior analysts, interns, or commercial support staff—setting priorities, conducting quality reviews, and actively developing talent
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Informal: Demonstrated ability to lead cross-functional projects, mentor peers, drive process improvements, or champion new analytical tools and methods without direct authority
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Proven track record of influencing traders, senior leadership, and cross-functional stakeholders through data-driven insights and well-articulated recommendations
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Experience leading or coordinating during high-intensity market events (e.g., supply disruptions, hurricane impacts, geopolitical crises)—acting as a player/coach on the desk
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History of onboarding new team members, building training materials, or establishing best practices and standard operating procedures for commercial analytics workflows
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Active contributor to continuous improvement initiatives—modernizing tools, automating manual workflows, or driving adoption of new technologies (AI/ML, advanced analytics, dashboarding)