Crude Trading Commercial Analyst Manager

About the Role

Key Responsibilities

• Inspire and lead a high-performing team of analysts, setting clear expectations and cultivating a culture of accountability, continuous learning, and innovation.
• Drive strategic insight generation by overseeing the analysis of market fundamentals, pricing structures, trade flows, and competitor activity to inform trading strategies and unlock commercial opportunities.
• Foster global collaboration by partnering with Commercial Analysts and Traders across Houston, Singapore, and London to align on arbitrage strategies, supply/demand modeling, and market positioning.
• Advance analytical capabilities by guiding the development and deployment of deterministic and dynamic models that identify and quantify trading opportunities across physical and financial markets.
• Champion digital innovation by promoting the adoption of advanced analytics, machine learning, and predictive modeling to enhance trading performance and uncover untapped value.
• Embed risk intelligence by integrating quantitative risk management methodologies into trading decisions and exposure strategies.
• Promote continuous improvement by leading lookback reviews, evaluating forecast accuracy, and refining analytical approaches based on outcomes.
• Strengthen market intelligence by cultivating a robust network of industry contacts and leveraging external insights to inform strategic direction.
• Develop a culture of innovation & efficient ways of working by leading process improvements, optimizing digital workflows, and minimizing manual effort and duplication across teams.

Requirements

• Bachelor's degree with a minimum of 5 years of experience in trading, market analytics, or related fields; prior leadership or supervisory experience strongly preferred.
• Deep understanding of commodity markets (e.g., crude, natural gas, renewables, refined products) and the broader energy landscape.
• Demonstrated strategic thinking, analytical rigor, and commercial acumen.
• Proficiency in Microsoft Excel, Power BI, and PowerPoint; experience with Python or similar tools for data analysis and visualization is advantageous.
• Excellent communication and stakeholder engagement skills, with a proven ability to influence and collaborate across functions & geographies.
• Demonstrated ability to lead in a fast-paced, dynamic environment with a digital-first approach.

Nice to Have

• Advanced degree (e.g., Master of Data Science, MBA) is a plus.