Quantitative Risk Analyst

We are looking for a Quantitative Risk Analyst to join our team on a 12 month fixed term contract. The role will be based at Solihull. Salary - £37,659 - £50,250 plus excellent employee benefits Location – Solihull (Hybrid working, 2 days a week onsite) Are you passionate about applying advanced mathematical techniques to real-world energy markets? In this role you will be operating at the centre of E.ON UK's energy trading and pricing portfolio, delivering high-quality quantitative analysis and commercial insight to Energy Markets and the wider business. You will be able to use your mathematical techniques and apply real world concepts, building your knowledge of the energy industry and the wholesale market. You will be working in Export, Structuring & Analysis using complex modelling to understand, and where possible, mitigate risk. Your work will feed into pricing, value contracts and financial risk submissions, and contribute to senior decision-making meetings. Main responsibilities of the role • Develop, maintain, and calibrate models for automated feeds into Pricing, Hedging and Cost/Revenue Forecasting. • Provide detailed analysis and modelling expertise to support the risk run process feeding into financial risk submissions. • Support the development of risk mitigating proposals through close monitoring and interpretation of external environment changes in the wholesale and competitive markets as well as internally through business process change or business issue identification. • Work with the wider Export, Structuring & Analysis team to enhance its reputation as an analytical centre of excellence. What we need from you • You will be educated to degree level in a numerical discipline. • You are highly numerate with strong ability to analyse highly complex issues and distil them into meaningful metrics and solutions. • You can apply graduate level mathematical and statistical techniques to analysis of energy market risks. • You have a keen interest to take responsibility proactively, often across unstructured problems, and to demonstrate ownership in these areas. • Ideally you will have advanced modelling skills to include coding competence in one or more of Matlab, Python, C++ or the ability to understand and interpret these environments.