Quant Modeler (f/m/d) Commodity Trading

We want our employees to feel secure – in every aspect. That is why we value stable working relationships, safely equipped workspaces, regular health checks and individual onboarding and development. Financial extras such as and allowances provide additional security.

Further benefits:

• 30 days annual leave
• Financial extras such as vacation pay and Christmas bonus, profit-sharing, an employee savings plan, company pension scheme, energy price discount and child bonus
• Leasing options for mobile devices and bicycles
• Discounted "Deutschland-Ticket" (train ticket)
• Flexible working models such as part-time hours and home office
• More about our various employer benefits at a glance

• 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.

• You have a background in quantitative modeling, asset optimization, and maritime routing and scheduling, with profound knowledge of optimization techniques and their application.
• Broad knowledge of European and global commodity markets is essential.
• Advanced software development skills in Python and GAMS are required.
• A commercially focused attitude with a hands-on mentality and the ability to interact with commercial stakeholders is crucial.
• You are a strong team player with experience working in international and multicultural teams, and you are fluent in English (additional languages are welcome).

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.