Develop and enhance advanced optimization and valuation models for physical assets (e.g., CCGTs, coal plants) and structured energy products (e.g., gas storage, swing contracts).
Implement and improve stochastic dynamic programming approaches for optimal dispatch and valuation (e.g., Least Squares Monte Carlo for flexible assets).
Calibrate models using market and fundamental data.
Generate risk metrics and sensitivities to support Trading and Risk functions
Back-test models using historical market and operational data.
Design and implement stochastic models for power and gas prices.
Improve scalability and numerical performance of valuation frameworks (e.g., parallelization, vectorization, efficient numerical methods).
Collaborate closely with Structuring, Trading, Risk, and other stakeholders to translate market dynamics into quantitative solutions.
Your profile
University degree (preferably PhD) in Mathematics, Physics, Electrical Engineering, or a related quantitative field.
Relevant experience in power and/or gas markets, with understanding of physical asset behaviour (flexible depending on seniority level).
Strong background in deterministic and stochastic modelling, optimization, and Monte Carlo simulation methods (experience with LSMC is a plus).
Knowledge of financial derivatives and structured products.
Strong programming skills in Python, plus at least one additional language (e.g., C#, F#, C++, Java, Scala).
Strong communication skills and ability to collaborate effectively with front office and cross-functional teams.
Fluent in English; additional languages are a plus.
Willingness to relocate to Lausanne or Olten, Switzerland.
Don't forget to mention EuroClimateJobs when applying.