Power Analyst

Pangea
London
1 year ago
Applications closed

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Pricing & Data Science Analyst (Hybrid)

Senior Data Scientist (Pricing and Decision Support)

Senior Director, Data Science and Analytics

2026 Apprentice - Digital (Data Science) - Belfast

Data Scientist

Data Scientist

We are seeking a highly skilledPower Analystwith experience innetwork analysisto 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 usingPyPSAand 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 withPyPSAand 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.

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