European Renewable Quantitative Analyst - London

We are partnering with a leading commodity trading and investment firm to hire a European Renewable Quant Analyst for their London-based team. The ideal candidate will have a strong background in weather and power analytics, with extensive experience analysing large datasets related to power generation and weather.

Responsibilities

• Develop and manage reporting processes for numerical weather, power, and renewable models across Europe.

• Conduct statistical analysis to produce expected probability distributions of weather, power, and renewable energy outcomes.

• Lead research efforts on seasonal and ocean forecasting, as well as climate prediction. Oversee the firm’s weather and climate data processes and enhance its weather analytics toolkit.

• Play a key role in:

• Designing, developing, and refining fundamental supply-demand and power pricing models to support trading strategies.

• Enhancing and maintaining the power desk’s proprietary analytical tools.

• Integrating new models into the power desk’s existing modelling infrastructure.

• Present research findings and incorporate promising outcomes into the team’s analytics and processes.

Requirements

• Master’s or PhD in Computer Science, Atmospheric Sciences with a computing focus, Statistics, Applied Mathematics, or a related quantitative discipline.

• 3–5 years of relevant experience, ideally within power or weather analytics in a trading or research environment.

• Strong analytical mindset with excellent communication skills.

• Proficiency in programming and statistical analysis using Python, R, and/or MATLAB.

To apply please send your CV to quantresearch@octaviusfinance.com