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Quantitative Energy Analyst

2 months ago

London, Greater London, United Kingdom oilandgas Full time
About the Role

We are seeking a highly experienced Quantitative Analyst to join our team in London. As a key member of our global Data Analytics team, you will be responsible for producing and communicating analysis to serve customers in the global energy industry.

You will develop and maintain predictive analytic models designed to help customers navigate the conditions in the dynamic natural gas & LNG markets. Your expertise in Python-coded environments and experience in maintaining and developing complex modelling will be invaluable in this role.

As part of your role, you will be developing and running innovative analysis approaches and models, combining data and latest forecasting technology to drive our competitive advantage. You will be tasked with stretching analytics projects and be in contact with customers and prospects across the global energy landscape.

Responsibilities
  • Leading the development and maintenance of all our natural gas & LNG models (fundamental, regression, neural networks and multi-stage optimisation models)
  • Structuring, coordinating and integrating the quantitative analysis on natural gas & LNG markets across the company
  • Anticipating improvement of our products and services around data-driven, quantitative energy market models to predict market variables
  • Creating and learning new techniques and applying them to existing problems
  • Explaining our analysis to clients and other market participants
Requirements
  • Substantial professional experience in the natural gas & LNG sector, especially in market forecasting and optimisation models
  • Understanding of our customers in energy trading and investment and natural gas & LNG markets
  • Able to communicate clearly, empathetically and concisely with a wide range of people at different levels
  • Programming skills in Python; knowledge of SQL and database systems
  • Experience and affinity to energy markets, optimisation problems and econometric modelling