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Octopus Energy is a global energy leader revolutionising the way people use energy. We're not just an energy supplier; we're a tech company building a cleaner, smarter energy future. The Global Energy Markets team makes sure we always have the electricity and gas we need to power our customers’ homes and businesses, while supporting the grid to accelerate the transition to Net Zero. We are expanding rapidly across the globe, and we're seeking a highly motivated and talented Quantitative Risk Analyst to join our dynamic Market Risk team. As part of our team, you’ll play a crucial role in helping shape our energy market risk function by developing and implementing sophisticated quantitative models. You will work closely with the Head of Group Market Risk and collaborate with international trading teams, forecasting, data analysts and engineers. At Octopus, we look for agile thinkers who can navigate complexity with ease. To succeed here, you’ll need to be someone who doesn't just keep up with a fast-paced environment, you thrive in it.
Job Responsibility:
Work with our international supply entities to understand market conditions and support risk management across power (including renewable PPAs), gas, and certificates
Support the ongoing development of market risk policies, and develop quantitative models, methodologies, and reporting to build on Octopus risk and analytics pipeline
Work closely with the engineering team, design analysis and visualisations that collate country specific risk positions into a single and clear Group view
Work closely with Forecasting, Within-day and Flex Trading teams to understand how flexible generation (e.g. batteries) and customer flexibility can be used as risk management tools
Develop quantitative modelling and analysis to support use of weather derivatives and energy options to manage risks
Support development of analysis and explanatory materials for a range of senior stakeholders, including the Octopus Energy Group board
Stay abreast of evolving market conditions, regulatory changes, and advancements in risk management methodologies
With international supply entities in 8 countries, some international travel may be required from time to time
Requirements:
Strong numerical ability and experience managing power risk essential
Experience implementing risk metrics and analytical models, including Value at Risk (VaR), Monte Carlo simulations, and simulation of stress test scenarios
Professional experience using Python and SQL is essential
Experience quantifying risk or managing portfolio optimisation of intermittent renewable energy (e.g. wind), flexible generation or batteries
Experience modelling energy options and weather derivatives as part of risk management strategies
Strong interpersonal, communication and listening skills to form trusted relationships with both local teams and international stakeholders