Power Market Analyst

Pangea Talent Solutions is hiring a Power Market Analyst to analyze electricity markets and grid networks. The role, based in London or Geneva, involves using advanced modeling tools like PyPSA to support investment strategies. Candidates should have a strong background in Electrical Engineering or related fields, experience with power systems analysis, and proficiency in Python. This full-time position offers a dynamic environment with access to top resources.
We are seeking a highly skilled Power Analyst with experience in network analysis to join a leading tech-focused Fund - can be based in London or Geneva. You will play a critical role in analysing electricity markets, grid networks, and renewable integration to support investment strategies. This is an opportunity to apply your technical expertise in a fast-paced, intellectually stimulating environment, with access to world-class resources and tools.

Key Responsibilities
• Conduct in-depth analysis of electricity networks using PyPSA and other advanced modelling tools.
• Develop and refine models to simulate grid dynamics, renewable energy penetration, and market behavior.
• Analyse power market trends, grid constraints, and policy impacts to identify investment opportunities.
• Collaborate with quants, traders, and developers to integrate technical insights into trading strategies.
• Continuously monitor and evaluate developments in the energy sector, including regulatory changes, technological advancements, and market structures.

Requirements
• Strong academic background in Electrical Engineering, Energy Systems, Applied Mathematics, or a related field.
• Proven experience with PyPSA and other network modeling tools for power systems analysis.
• Solid understanding of European power markets, grid operations, and renewable energy dynamics.
• Proficiency in Python and other programming languages used for data analysis and modelling.
• Excellent communication skills and ability to work collaboratively in a cross-functional team.

Preferred Qualifications
• Prior experience in the financial sector or energy trading environment.
• Familiarity with other modeling tools such as PLEXOS, PSSE, or PowerWorld.
• Knowledge of machine learning techniques and their application in energy markets.