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Energy Modelling Analyst

Posted 23 January 2023
Salary Competitive Salary (DOE)
LocationSydney
Job type Permanent
Discipline Renewable Energy & InfrastructureSustainability
ReferenceLBLI-2JAN23
Contact NameLouis Blaser

Job description

​My client is a leading player in the Energy Market Analytics space.

As an Energy Modelling Analyst, you will have a unique international opportunity to build your career in the energy sector by joining our Asia-Pacific team. Initially, the role will be based in Sydney, Australia before relocating permanently to a new office in Singapore in early 2024. The focus of the role will be on modelling energy commodities (notably electricity) markets, by developing analytical and computational tools, enhancing modelling methodology, analyzing data, formulating recommendations on future trends and providing insights to enhance clients' decision-making.

Key Responsibilities:

  • Develop and maintain the company's suite of energy market models

  • Collaborate closely with research and consulting teams to extract valuable insights from model results

  • Contribute to the continuous improvement of the modeling team's operations

Qualifications:

  • Relevant degree in Economics, Engineering, Mathematics, Computer Science or other quantitative field from a top university

  • Right to work in Singapore and willingness to work in Sydney until early 2024 before relocating to Singapore

  • Exceptional problem-solving skills and analytical ability

  • Strong ability to collect, analyze, and interpret complex quantitative data and information

  • Knowledge of one programming language such as C++, Matlab, Python, R, Java, etc.

  • Strong interpersonal skills and a great team player

Desirable Qualifications:

  • Relevant Master's degree or PhD

  • Knowledge of and interest in energy markets, and a belief that well-designed models significantly improve decision making

  • Knowledge of statistical and/or optimization techniques

  • Knowledge of an algebraic modeling language such as GAMS (preferred) or AMPL

  • 2+ years of work experience in a quantitative and/or technical role.