Energy Trading Assistant

The Energy Trading Assistant will strengthen our clients analytical and data science capabilities, with an emphasis on certificate inventory optimization, fundamental modelling, pricing, and market strategy. .

Responsibilities:

• Manage and optimize the US Environmental Products certificate/credit inventory
• Create tools, systems, and processes for REC and Carbon deliveries
• REC and Carbon Registry management
• Collaborate with Settlements and Risk teams to create, maintain, and improve proprietary portfolio management programs and tools
• Create transparent reporting for outstanding/upcoming positions and near-term deliveries
• Own the creation, analysis, and dissemination of various US Environmental market models
• Design, build, and maintain financial, trading, and supply/demand models
• Regular updates to core market models
• Develop relationships with third-party market analysts
• Perform fundamental and market analysis to provide insights on topics such as view formation, long-term deal pricing, optimal hedging strategies, and long-term calibration of curves and models
• Provide data-driven decision support and deliver insights to senior portfolio managers and management
• Support company-wide data management, Excel tools, and Python libraries
• Assist the Quant and Structuring team with model development, inputs, calibration, and deployment
• Support transactions from deal closing through settlement
• Aid the larger team with development, refinement, and occasional execution of various trading strategies
• Assist the Portfolio Management team with trading and execution, initially as a backup; including use and proficiency of all internal and external relevant trading systems

Qualifications:

• Strong understanding of power system economics and fundamental models is a must
• Understanding of, or previous exposure to, renewable energy is preferred
• Experience trading commodities among a US client-base
• Experience analyzing complex transactions
• Understanding of common commercial terms for short and long-term transactions
• 1+ years of experience analyzing and executing transactions for any commodity market with a US client-base
• Data science ability in Python
• Minimum of a college degree
• Exceptional communicator, skilled at internal & external stakeholder management