Chief Energy Modeller

The Chief Energy Modeller will work together with various business lines to develop short to long-term assessments of future environmental commodities demand growth at the sectoral level, understanding the main drivers and key uncertainties.

Key Responsibilities

• Lead the build out and maintenance of demand models for different environmental commodities based on the analysis of sectorial trends to guide trading and origination strategies.
• Assesses the nature and scale of environmental commodities displacement of fossil fuels, with a special focus on the transport and heating sectors.
• Contribute to formulation of the STX view on environmental commodity markets, working with trading and business analysts to develop one consistent view.
• Manage data sources within the trading, policy and research and analytics teams to ensure accurate reporting and consistent demand assumptions across the organization.
• Articulate how the policy and regulatory frameworks in the environmental commodities affect the commodities demand mix. Model which commodities will be the ‘winners’ and ‘losers’ of new policies and regulations.
• Prepare comprehensive, thought-provoking market analysis and research reports to present to internal stakeholders and external clients.
• Attending conferences to contribute to the growth of the company’s network.
• Provide mentorship and coaching to other analysts.

Key Requirements

• Solid demonstrable analytical experience in energy markets at a research/business intelligence company (S&P Global Commodity Insights, Energy Aspects, Rystad Energy) or consultancy.
• Fundamental demand modelling experience (building and maintaining complex models, working with statistical tools, regression modelling).
• Strong interest in and knowledge of the EU policy agenda supporting environmental commodities.
• You are passionate for in-depth data analysis and studying environmental commodities markets.
• An innate ability to identify key trends in large datasets.
• Successful track record in producing original market insights.
• An advanced level of Excel is necessary, Python/SQL skills would be advantageous.
• Relevant master’s degree, e.g., Economics, Business, Finance