At a Glance
- Tasks: Develop pricing models and conduct market analysis for renewable assets.
- Company: Dynamic energy firm focused on innovation and sustainability.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on automation and efficiency.
- Why this job: Join a team making a real impact in the renewable energy sector.
- Qualifications: Experience in energy trading, pricing, or risk management preferred.
The predicted salary is between 50000 - 70000 £ per year.
Responsibilities
- Assist in developing and maintaining pricing models to support the accurate valuation of renewable and flexible assets and other structured products.
- Conduct detailed market analysis to inform pricing strategies and provide insights for senior decision-makers.
- Develop and implement logic for long‑term forward price curves, including temporal calibration to align with market‑specific settlement intervals.
- Support enhancements to in‑house capabilities for modelling price cannibalisation of renewable assets across European markets.
- Contribute to the development and maintenance of Python‑based repositories for pricing models and tools, ensuring accuracy and efficiency.
- Price and determine risk premiums embedded within I&C and PPA contracts, collaborating with other analysts within the team.
- Assist in identifying improvements to existing models and processes, automating where feasible.
Requirements
- Experience in a commercial environment, preferably within energy trading, pricing, or risk management.
- Exposure to PPA structuring and asset valuation (preferred).
- Experience with analytical and modelling tools (Python, SQL, etc.).
- #J-18808-Ljbffr
We think you need these skills to ace Quantitative Structuring Analyst
Pricing Models Development
Market Analysis
Long-term Forward Price Curves
Temporal Calibration
Price Cannibalisation Modelling
Python Programming
SQL Proficiency
