Energy Markets Modeler
The successful candidate will join the Middle Office and Market Scenario team within the Energy Markets division. They will work closely with other areas in Energy Markets, helping with pricing, modeling, portfolio risk analysis, and short, mid, and long-term price and revenue forecasting activities.
Responsibilities and Duties
The candidate will support the following activities:
- Formulation of the short, mid, and long-term market price scenario for all relevant markets based on energy market fundamentals modelling, incorporating both internal and external forecasting models and energy scenarios.
- Conducting revenue analysis and portfolio risk simulation for all energy portfolios, with the goal of optimizing short and long-term strategies to support commercial activities and financial assessments.
- Development of quantitative models and pricing tools to support all commercial, energy risk management, and economic-financial valuation endeavors.
- Developing quantitative tools specifically tailored to model energy markets fundamentals, such as demand, generation mix, weather patterns, carbon and gas markets, and evaluating their impact on electricity prices. Providing insights on opportunities and risks in markets where Renantis operates, while also assisting in the optimization of Renantis' energy assets, including both renewables and flexible assets.
Key Job Requirements
- Experience in energy markets modeling (power, gas, LNG, carbon).
- Growth mindset and strong willingness to face new challenge for self-development.
- Passionate about energy transition and eager to deeply understand the big picture of energy sector.
- Ability to perform root cause analysis, identify trends and recommend corrective course of action.
- Ability to work and interact with colleagues throughout a complex organization.
- Strong organizational skills including the ability to effectively manage multiple deadlines simultaneously.
Qualifications and Skills
- At least, 2-3 years' experience as energy markets modeler or quant in utility, investment firm, energy trading company or energy advisory.
- University degree in Engineering, Mathematics, Physics, Statistics or Economics with a solid quantitative academic background.
- Strong analytical and coding skills are essential, with Python being a requirement. Proficiency in other coding languages such as R, Matlab, SQL, and VBA would be considered an advantage.
- Knowledge of business intelligence tool such as PowerBI or Tableau.
- Proficiency in English language verbally and in writing.
Don't forget to mention EuroClimateJobs when applying.