We are looking for a Quantitative Analyst to join our Modeling and Pricing team and who will collaborate very closely with trading and commercial stakeholders to solve multiple business challenges arising from energy markets (complex financial derivatives on power, gas, oil). The ideal candidate will have strong quantitative as well as programming skills and should be passionate about the creation and development of statistical models. It is essential that he/she can work collaboratively in an international team environment, with strong commitment and innovative mindset. You will join the Risk Modeling, Pricing and Demand Forecasting team within the Global Energy and Commodity Management Business Line that operates in wholesale physical and financial markets for energy commodities (electricity, gas, emissions, oil and many others) and manages the Group’s integrated portfolio through hedging with complex products in order to mitigate the risks and maximize the Group’s energy profit margins. You’ll have the opportunity to work with our strategic team that is made up of 25 people located across Italy and Spain. Our team will offer you the opportunity to embark on a highly professional development path, allowing you to deepen and consolidate your knowledge of both financial and physical energy commodity markets. You will learn to apply theoretical knowledge of statistics and stochastic processes to real-world data, such as prices or renewable generation, maintaining the right balance between theoretical rigor, approximation, and physical consistency.
In this role, you will be responsible for: • Risk Premium Assessment: you will contribute to calculating the risk premiums applied to the sale of power and gas contracts, both in retail campaigns and bilateral negotiations with large counterparties. You will support the commercial units in understanding risk drivers and selecting the appropriate premium level based on market competitiveness • Structured Products Pricing: you will be responsible for the valuation of structured derivatives traded by the Front Office or commercial units with market counterparties. You will also contribute to their management by proposing hedging strategies • Quantitative Analysis: you will interact with stakeholders to support decision-making processes and long-term contract negotiations through quantitative analyses. This involves translating business challenges into quantitative models, mapping contractual flexibilities onto a risk/return framework, and, when possible, proposing adjustments to improve the risk profile with minimal impact on margins • Research and Development: you will collaborate on the development of new strategies for market risk assessment, proposing new models or enhancing existing ones to ensure alignment with market best practices. You will take part in projects exploring the application of machine learning and GenAI techniques in risk management.
• Education: Degree in a quantitative discipline (e.g., mathematics, physics, statistics, data science, computer science, quantitative finance, engineering); excellent oral and written communication skills in English. Minimum qualifications needed for this role are: • Required skills: strong mathematics skills with a good understanding of stochastic processes, time-series analysis, machine learning models.. Proficient in one or more programming languages, e.g. Matlab, Python. • Required professional experience: at least 2 years of working experience in a highly quantitative role. This may be substituted by relevant academic experience in a quantitative discipline. • Required soft skills: a person with strong analytical rigor and problem-solving skills to face multiple challenges within the group. Interest in understanding the wider business context of our activities and proactivity in developing solutions that are appropriate to the situation. Strong verbal and written communication skills, with the ability to explain analytical issues and synthetize complex analyses are also expected. Team player comfortable in a professional services environment with the ability to effectively debate and subsequently influence internally & externally at all levels. Actively seeks to enhance own expertise and knowledge. • Education: Degree in a quantitative discipline (e.g., mathematics, physics, statistics, data science, computer science, quantitative finance, engineering); excellent oral and written communication skills in English. Additional qualifications considered as a plus are: Knowledge of financial markets and products; PhD degree; Spanish.
Required soft skills: a person with strong analytical rigor and problem-solving skills to face multiple challenges within the group. Interest in understanding the wider business context of our activities and proactivity in developing solutions that are appropriate to the situation. Strong verbal and written communication skills, with the ability to explain analytical issues and synthetize complex analyses are also expected. Team player comfortable in a professional services environment with the ability to effectively debate and subsequently influence internally & externally at all levels. Actively seeks to enhance own expertise and knowledge.