SHORT TERM QUANTITATIVE ALGORITHMIC TRADER (F/D/M)

Because digital energy trading can’t wait any longer: At EWE TRADING GmbH, we handle the energy trading activities of the EWE Group and act as the Group´s interface to the wholesale markets for power, natural gas, emission rights and renewable energy. Join our mission and our great team to grow with us.

Your New Position: Join our dynamic team at EWE TRADING GmbH and take on the exciting challenge of working in short-term power trading. As a Short Term Quantitative Algorithmic Trader (f/d/m), your main responsibilities will include:

• Driving quantitative trading decisions, particularly for our renewable portfolios, such as Wind and PV, as well as flexibility assets like batteries and electrolysers
• Supporting our algorithms to make better commercial decisions by leveraging data analysis and market insights
• Developing and refining trading strategies based on data analysis
• Collaborating with other trading departments to enhance an analysis platform, improving our market outlook and future strategies
• Working on modern cloud IT technology platforms to optimize renewable energy trading
• Creating and improving analytical dashboards using Business Intelligence tools
• Taking on P&L and risk responsibility as the portfolio owner

Your Profile: We are looking for a candidate with the following qualifications:

• An advanced degree (diploma, master’s or PhD level) in natural sciences, engineering, or economics
• Knowledge of energy markets, statistical models, and time series analysis is highly desired
• Strong programming skills, preferably in object-oriented programming languages such as Python and Javascript
• Proficiency with SQL/NoSQL or any database query language is an advantage
• Excellent analytical and problem-solving skills, with a keen attention to detail
• A team player with an entrepreneurial attitude, a strong willingness to perform, learn, and a hands-on mentality
• Fluency in both German and English, spoken and written

• Driving quantitative trading decisions, particularly for our renewable portfolios, such as Wind and PV, as well as flexibility assets like batteries and electrolysers
• Supporting our algorithms to make better commercial decisions by leveraging data analysis and market insights
• Developing and refining trading strategies based on data analysis
• Collaborating with other trading departments to enhance an analysis platform, improving our market outlook and future strategies
• Working on modern cloud IT technology platforms to optimize renewable energy trading
• Creating and improving analytical dashboards using Business Intelligence tools
• Taking on P&L and risk responsibility as the portfolio owne