Power Trading Analyst & Modeller (f/m/d)
Essen, DE
E.ON Energy Markets GmbH | Permanent | Full time; Part time
E.ON Energy Markets GmbH is a subsidiary of the E.ON Group based in Essen. Our main purpose is to coordinate access to trading markets for our regional business units, to bundle the associated chances and risks plus to provide innovative services. Our core competencies include portfolio strategies, risk management and data processing. With activities in various European countries, we shape the future of energy.
At E.ON diversity matters. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse company culture! To create equal opportunities for everyone we offer our positions in full or part-time.
Seize the chance to become part of our E.ON Energy Markets GmbH team in Essen as soon as possible and apply online now as Power Trading Analyst & Modeller (f/m/d). Create perspectives not only for the future of E.ON, but also for your own. We can't wait to meet you, because none of us is as strong as all of us.
The candidate will sit on the trading desk and work closely with traders and analysts, identifying power price forecasting models (Fundamental and Econometric) relevant for commercial decision making and developing the modelling landscape for the European energy trading team. The power modelling analyst is responsible for the whole life cycle of an application or a model: from the research/design to the development/implementation, input/output model data automation and the maintenance. This is an office-based role in Essen or London.
What we are looking for/ Role responsibilities:
- Build up and develop the quantitative modelling landscape (fundamental and econometric/statistical) for the European energy trading team
- Work closely with traders and analysts, identifying & developing price forecasting models relevant for commercial decision making
- Leverage coding skills in close collaboration with developers (visualization) and market analysts (trading strategies) to develop efficient models which can be used to run scenario analysis, producing customizable user interfaces with a high degree of flexibility.
- Develop, maintain and improve models to ensure stable performance and automation of workflows
- Compile time series for relevant power market model inputs and automate model input updates and model result processing
- Collaborate closely with our IT anAd Quant departments on tool developmentS
- Produce regular reports to update on latest developments/functional updates. Creating detailed documentation on model development, processes and design
Who we are seeking / Role qualifications:
- Educated to university level or equivalent with a significant mathematical content and/or in Engineering, Economics, Data science, machine learning. An educational background with an energy market focus is a plus
- Demonstrable experience in market analysis from an energy trading background at a trading house, fund or utility
- Acquired expertise in econometric/statistical and fundamental modelling preferably in a European context
- Strong conceptual understanding of power market concepts such as security-constrained economic dispatch, unit-commitment, nodal/zonal price formation
- Expertise in a mathematical modelling language e.g., GAMS, Python or Julia and familiarity with databases e.g., SQL, PostgreSQL including machine learning, optimisations and advanced econometrics/statistics
- Understanding of European energy markets and interaction of commodities/markets
- Excellent analytical and communication skills
E.ON is united in working on the most exciting issue that our generation needs to solve climate change! With all our employees and customers, we are a global community of innovators and changemakers, all with the belief that each one of us can make a difference for our environment, for our society and for our children – We shape the future.
To keep you motivated and healthy we are offering you the following benefits:
- Flexibility: hybrid work model, flexible working times, sabbatical or additional vacation opportunities allowing great work-life balance
- Working from abroad: up to 20 days in the European economic area
- Flat hierarchies: interdisciplinary and very cooperative working style providing room for own ideas
- Modern work environment: workplace according to digital and ergonomic standards
- Personal growth: life-long independent learning making use of a broad range of opportunities working with the newest technology and state of the art trainings
- Family service support: services in the areas of childcare, holiday care, nursing support or everyday assistance
- Nutrition & Health: wide selection of fresh meals and drinks in our subsidized bistro and canteen as well as various health offers (e.g. physiotherapy, flu vaccinations, mental health)
- Corporate Benefits: employee share program, pension scheme, employee discounts, special insurances (and much more)
- A central location: very good public transport connection, free parking and charging points for e-vehicles
- Individual mobility: private car and bicycle leasing and subsidized DeutschlandTicket
Do you have questions?
For further information please contact Linda Sloboda, linda.sloboda@eon.com. Are you already convinced that this is the next step in your career? If yes, we would be happy if you would register and apply online (ID 229568). Just a quick note: Please only use our official application portal to apply. Unfortunately, we can't consider applications sent via email. We really appreciate your understanding!
What you need to know:
Contract type: Permanent
Work Model: Hybrid
Working time: Full time; Part time
Company: E.ON Energy Markets GmbH
Location: Essen
Function area: Trading; Energy Management
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Econometrics Economics Engineering Julia Machine Learning ML models PostgreSQL Python Research Security SQL Statistics Trading Strategies
Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment
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