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Gas and LNG Market Strategist

Gas and LNG Market Strategist

  • Location United Kingdom - South East - London
  • Travel required No
  • Job category Supply & Trading Group
  • Relocation available No
  • Job type Professionals
  • Job code 136992BR
  • Experience level Intermediate
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Job summary

Grade H - Responsible for delivering relevant analysis and modelling to provide commercial insight, utilising relationships to stay up to date with internal developments in statistical techniques, whilst identifying process improvements and applying insights from the external environment.

The Market Strategist team is responsible for identifying and forecasting changes in supply and demand fundamentals and communicating the likely impact on price action to the trading benches and origination teams, as well as contributing towards bp’s long term investment decisions.

This new Gas and LNG Market Strategist will focus on European and global gas markets as well as global LNG. The role will cover a variety of activities including project-based work supporting the continuous improvement of our forecasting, taking ownership of market views (depending on experience), and will contribute towards the team’s short-, mid- and long-term market outlooks. Over time there is also potential scope for this role to support market strategist teams covering other commodities across bp’s trading activity.

The successful candidate will understand how gas and LNG markets trade, have experience developing fundamental analysis and delivering insightful commercial advice. They will enjoy working in a fast paced, global trading organization and will have an eye for details and focus on timely delivery.
The Market Strategist team is responsible for identifying and forecasting changes in supply and demand fundamentals and communicating the likely impact on price action to the trading benches and origination teams, as well as contributing towards bp’s long term investment decisions.

Key Accountabilities

  • Collaboratively develop fundamental modelling infrastructure to forecast supply, demand and prices.
  • Update and maintain balance models, originating data and leveraging information flow that comes from participation in physical and derivative markets.
  • Quantify market fundamentals and their relationship to price, develop and communicate market and price views to enhance commercial delivery.
  • Forecast market direction, develop commercial insight, highlight risks and contribute to commercial strategy.
  • Regularly present at internal market strategist meetings.
  • Support commercial activity with in-depth market studies providing commercial advice.

Essential Education
  • Hold a Degree in a quantitative, statistical, mathematical, engineering or similar discipline

Essential Experience and Requirements
  • Knowledge of global gas and LNG markets, including the key supply and demand drivers and how commodities are traded.
  • Understanding of economic fundamental forecasting principles.
  • Able to communicate key themes and messages clearly and succinctly.
  • Excellent problem-solving capability.
  • Strong attention to detail.
  • Prioritisation under pressure.
  • Ability and desire to work in a fast-paced, dynamic trading environment.
  • Able to work independently or part of an agile team.

Desirable Experience
  • Demonstrated track record of strong fundamental market calls and giving commercial advice.
  • Experience of programming in Python or use of Dataiku or similar coding background.
  • Experience building data visualization tools such as PowerBI dashboards.
  • Econometric modelling knowledge.
  • Experience working with large and incomplete data sets.
  • Demonstrable history of continually improving technical processes, models and systems.
  • Knowledge of other energy commodities.
  • Additional languages (ability to read and interpret business documents).

Grade H - Responsible for delivering relevant analysis and modelling to provide commercial insight, utilising relationships to stay up to date with internal developments in statistical techniques, whilst identifying process improvements and applying insights from the external environment.

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