Must Have: Designing and building robust data pipelines Pandas Numpy Statsmodel.
Essential Experience
- Undergraduate degree in STEM subject or quantitative discipline.
- Knowledge of US energy markets (e.g. gas LNG or power).
- Understanding of supply and demand drivers together with how physical and related financial instruments are traded.
- Track record of working with traders or other business stakeholders to create commercially actionable models.
- Experience with a range of modelling techniques including regression time series analysis forecast modelling and machine learning.
- Excellent problem-solving skills.
- Experience using a coding language to develop models and analytical tools.
- Experience manipulating and analysing large complex datasets.
Desirable Experience & Skills
- Practical knowledge of data engineering practices (designing and building robust data pipelines).
- Knowledge of Python and core libraries applicable to data science (e.g. pandas numpy statsmodel).
Must Have: Designing and building robust data pipelines Pandas Numpy Statsmodel. Essential Experience Undergraduate degree in STEM subject or quantitative discipline. Knowledge of US energy markets (e.g. gas LNG or power). Understanding of supply and demand drivers together with how physical and r...
Must Have: Designing and building robust data pipelines Pandas Numpy Statsmodel.
Essential Experience
- Undergraduate degree in STEM subject or quantitative discipline.
- Knowledge of US energy markets (e.g. gas LNG or power).
- Understanding of supply and demand drivers together with how physical and related financial instruments are traded.
- Track record of working with traders or other business stakeholders to create commercially actionable models.
- Experience with a range of modelling techniques including regression time series analysis forecast modelling and machine learning.
- Excellent problem-solving skills.
- Experience using a coding language to develop models and analytical tools.
- Experience manipulating and analysing large complex datasets.
Desirable Experience & Skills
- Practical knowledge of data engineering practices (designing and building robust data pipelines).
- Knowledge of Python and core libraries applicable to data science (e.g. pandas numpy statsmodel).
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