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Salary
≈ $27k – $63k per year (Estimated)
Location
In office (Budapest)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 7, 2026. MET Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
MET Group is a Swiss-based integrated energy company that trades and supplies natural gas and power, operates gas-fired power plants, gas storage and renewable assets, and sells energy to industrial and wholesale customers across Europe. Founded in 2007 as a spin-off from the Hungarian oil company MOL, it runs trading and analytics teams in Budapest, Madrid, Milan and other European cities. The company is headquartered in Baar, Switzerland.

MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi-commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets.

MET Group is represented in 21 countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Czech Republic, Croatia, France, Germany, Hungary, Italy, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Switzerland, The Netherlands, Turkey and Ukraine.

MET Group is present in 33 national energy markets and 44 international trading hubs. The Group has a significant end-consumer presence in Belgium, Croatia, Italy, Hungary, Romania, Slovakia, Spain, and The Netherlands.

MET Group has 1350+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation *.

Role Overview:

We are looking to expand the Analytics team by hiring an experienced Long-Term Power Analyst to strengthen mid- and long-term European power-market modelling and strategic analytics. The role jointly owns the development and operation of the long-term modelling framework, from scenario design and model validation through production delivery and commercial interpretation.

Depending on the candidate’s profile, the role may carry a stronger emphasis on strategic long-term model development (Y+3 to Y+15) or on the bridge between near-/mid-term desk analysis and long-term fundamentals.

  • 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
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