Key Accountabilities:
* Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization.
* Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions.
* Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques.
* Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight.
* Identify repetitive processes that can be standardized into modules that can be reused across projects.
Essential Experience
* Undergraduate degree in STEM subject or quantitative discipline.
* Knowledge of European 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 analyzing 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)