EnBW

EnBW is one of the largest energy supply companies in Germany and Europe, with a workforce of 27,000 employees. EnBW UK Ltd is a wholly owned subsidiary of EnBW and part of EnBW's Trading division, which is EnBW's central point of access to the energy markets. We are active in key European markets and international energy exchanges. The Trading division is responsible for the optimal management of the EnBW portfolio and energy trading. We support the energy transition through active marketing and management of renewable energies, PPAs, direct marketing and hydrogen supply and sales. This is an exciting time to be part of our international team, whose mission is to develop smart energy products and promote renewable energy. EnBW's trading business operates in 4 European countries; Germany, UK, Norway and Switzerland. This position is based in London and is a hybrid remote role.

• A competitive salary and a generous holiday package
• Pension contributions
• Health assessment, private medical and dental insurance
• Significant training, development, and career growth opportunities
• Attractive workplace in a brand-new office

• Support our LNG desk with high-quality tools and quantitative analysis for short-term portfolio optimization, to enable the day-to-day portfolio management of the commercial team.
• Development and enhancement of a routing and scheduling optimization model with a strong practical and commercial focus.
• Support in the long-term valuation of supply contracts.
• Working closely with colleagues at all corporate levels, supporting inter alia strategic projects and all market analysis teams.
• Close collaboration with Trading IT to foster platform development and the application of advanced technology.

We offer an opportunity in EnBW Trading for a senior quantitative modeler with strong background in optimization. The role is in the Analytics Department. With a team of ca. 20 analysts supported by external developers, we provide first class quantitative analysis & commercial services to a wide range of stakeholders. We develop the infrastructure to operate efficiently on scalable platforms and leverage latest technology. Our quantitative work is fueled by data and grounded on sound market knowledge. In Quant Modeling we apply data science approaches and integrate increasingly machine-learning solutions but also maintain and develop traditional financial engineering models.