Energy Analyst
- Prepare, process, clean and visualize various kind of power, gas, and weather data sets to establish a basis of further analysis
- Develop, analyse, and conduct different approaches to forecasts different variables (Demand, wind, solar, prices)
- Statistical evaluation and validation of different types of forecasts
- Build the framework to deploy models in production that will be use every day for trading decisions
- Share this framework with the rest of the team to increase the performance of the rest of the team developments
- Participate to the conception and development of a computational environment which enable scalability and high computational power
- Develop in house optimisation models (stack models, dispatch models)
- Bring new ideas of models to improve the desk P&L
- Delegate and lead some models and infrastructures projects done by teams of high technical people in IT and modelling.
- Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent
- High knowledge for solving unstructured and non-standard mathematical problems
- End-to-end experience with data, including querying, aggregation, analysis, and visualization
- Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn).
- Strong SQL skills for data retrieval, basic analysis, and data cleansing.
- Strong knowledge and application of object-oriented design and software best practices in Python
- Familiarity of cloud architecture, with a focus in deploying and hosting applications in a cloud environment.
- Self-starter who is commercially aware and value focused. Able to work with minimal supervision and guidance.
- Good communication skills to present new developments and facilitate acceptation by the team and the traders.
- Algorithmic complexity theory
- Parallelism & Concurrency
- Experience with messaging and or data streaming technologies such as Kafka, ActiveMQ, Azure Service Bus, and Azure Event Hubs.
- Have experience implanting algorithms and data-structures
- Have a good knowledge of linear algebra, calculus, and discrete mathematics
- Progress as a person as we work on the energy transition together.
- Continuously grow the transferable skills you need to get ahead.
- Work at the forefront of technology, trends, and practices.
- Collaborate with experienced colleagues with unique expertise.
- Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
- Benefit from flexible working hours, and the possibility of remote/mobile working.
- Perform at your best with a competitive starting salary and annual performancerelated salary increase - our pay and benefits packages are considered to be among the best in the world.
- Take advantage of paid parental leave, including for non-birthing parents.
- Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
- Grow as you progress through diverse career opportunities in national and
- international teams.
- Gain access to a wide range of training and development programmes.
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