Energy & Natural Resources Associate Analyst — London

Marsh Agency

Greater London

Hybrid

GBP 33.000 - 52.000

Vollzeit

vor 28 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Competitive salary and benefits
Defined contribution pension
Health insurance
High-quality training
Buddy program
Firm-sponsored social activities
Hybrid work model
Travel opportunities

Zusammenfassung

NERA Economic Consulting in London is seeking talented analysts to join our Energy and Natural Resources practice. You will contribute to high-impact economic analysis and client-ready reports under the guidance of senior economists.

We value rigorous academic backgrounds and strong quantitative skills. The role offers exposure to regulated industries, cross-border projects, and a collaborative, training-focused environment with a hybrid working model.

Qualifikationen

  • BA/BSc and a Master’s or PhD in Economics with exceptional academic records.
  • Enjoy microeconomics and quantitative research.
  • Proficient in Excel, Stata, R, Python, or similar quantitative software.

Aufgaben

  • Apply technical skills to regulated industries across a variety of jurisdictions.
  • Perform and develop cutting-edge economic analysis on complex real-life issues.
  • Write research reports and prepare client presentations for senior staff and clients.
  • Influence project strategy and present oral and written submissions.

Kenntnisse

Economics
Microeconomics
Econometrics
Finance
Quantitative skills

Ausbildung

BA/BSc + Master’s or PhD in Economics

Tools

Excel
Stata
R
Python

Jobbeschreibung

NERA Economic Consulting in London is seeking talented analysts to join our Energy and Natural Resources practice. You will contribute to high-impact economic analysis and client-ready reports under the guidance of senior economists.

We value rigorous academic backgrounds and strong quantitative skills. The role offers exposure to regulated industries, cross-border projects, and a collaborative, training-focused environment with a hybrid working model.

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