Energy Aspects is looking to solve the problem of modeling fundamental energy supply and demand and building data offerings and capabilities in the energy industry, specifically in the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets.
Requirements
- Python: Ability to write production level code with an excellent understanding of best practices, including regression and timeseries forecast models.
- Understanding of code life cycle best practices (package management, code reusability, version control, and cloud deployment).
- Ability to build efficient queries across complex data models, understand and update existing data models in SQL or timeseries databases.
- Excellent statistical analysis skills.
- Attention to detail in both handling data and written English.
- Use of cloud data platforms (Google Cloud, AWS, Azure).
- Basic knowledge of Docker, Airflow, Github.
Responsibilities
- Taking full ownership of projects, from data collection to modeling and deployment.
- Managing, running and improving existing fundamental models in response to analyst requests.
- Understanding analyst needs and delivering solutions to answer market questions.
- Proposing and implementing market models. Managing the relationship with key users of these models.
- Delivering model results to clients via our portal and API.
- Building and maintaining models
- Assisting with analysis
Other
- Value driven and can-do attitude.
- Ability to own and deliver projects involving stakeholders with a wide range of technical capabilities.
- Interest in commodities, energy, weather, power and financial markets would be beneficial.
- Energy sector experience, especially that relevant to electricity and weather is not essential but would be advantageous.
- Annual bonuses, comprehensive private health insurance and generous 401k matching contributions.
