About the role
Job Description
* Design, configure and operate fundamental stack models and reduced modelling configurations across European markets, with a focus on mid/long-term horizons * Develop and implement structural, weather and targeted sensitivity scenarios * Calibrate, benchmark and quality-assure model inputs, assumptions and outputs, and drive improvements in model robustness * Deliver recurring core model outputs and improve automation, post-processing and reporting of model runs * Interpret price, generation, capture, curtailment, storage, gas / CSS and network results and frame them in their commercial context * Develop long-term modelling architecture and methodology, including benchmarking of detailed and reduced configurations and alternative modelling approaches * Support desk-focused forward analysis and maintain consistency and calibration between near-/mid-term market views and the long-term modelling framework * Work closely with Long-Term Researchers to implement researched system-development assumptions in consistent model scenarios * Contribute to asset valuation, strategic analytics and longer-term scenario work * Cooperate closely with traders, gas analysts, Long-Term Researchers, Data Engineering and other relevant stakeholders
Qualifications
* At least 5 years of relevant experience in power-market analysis, fundamental modelling or cross-commodity analysis, ideally within the energy trading / commodities sector * Power-market fundamental stack-modelling experience, ideally including forward-horizon or scenario-based modelling * Bachelor’s degree in Finance, Economics, Engineering, Mathematics, or a related field * Strong analytical and quantitative skills, including statistical / econometric analysis and model validation * Strong understanding of European power-market dynamics across supply, demand, storage, fuel economics and transmission constraints * Excellent presentation and communication skills * Ability to explain complex modelling results clearly and translate analysis into commercially relevant views * Coding skills in Python and SQL are an advantage