About the Business

At Moeve, we're driving a transformative strategy called "Positive Motion," focused on greening our revenue streams. As part of this vision, our Trading team plays a crucial role in optimizing value from both legacy hydrocarbons and emerging energy flows. Trading is key to maximizing value by expanding and leveraging our platform. The Risk team plays a key role in supporting trading activities by developing and maintaining cutting-edge tools and models to measure and manage risk effectively across the portfolio.
As part of the Modelling & Analytics team, you will contribute to the development of Moeve's counterparty credit risk capabilities. Your primary focus will be on building robust, transparent and scalable methodologies to measure and aggregate credit exposure at trade, counterparty and portfolio level, incorporating contractual risk mitigants and concentration risk. You will also support pragmatic Probability of Default modelling for Expected Loss and Unexpected Loss measurement.

The Responsibilities We'll Trust You With





• Develop and maintain methodologies and tools to measure and aggregate counterparty credit exposure at trade, counterparty and portfolio level across energy commodities, derivatives and physical contracts.
• Develop quantitative models to simulate the evolution of commodity market risk factors and generate future exposure profiles and metrics, including Current Exposure, Expected Exposure (EE) and Potential Future Exposure (PFE), across different pricing, delivery and settlement windows.
• Model the impact of contractual credit risk mitigants on exposure, including netting, collateral, margining, guarantees, payment terms and other relevant contractual provisions.
• Analyse portfolio credit risk and concentration across counterparties, sectors, geographies, commodities and maturity profiles, considering aggregation, diversification, common risk factors and stress scenarios.
• Develop pragmatic methodologies for Probabil

📌 Modelling & Analytics Credit Analyst (Madrid)
🏢 Moeve
📍 Madrid