Long-Term Power Analyst
Budapest, hu, Hungary Full-time 5+ yrs
- 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
- 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