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Aurora Energy Research

Energy Modelling Analyst - International Natural Gas Markets

Oxford
Posted 1 day ago
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Department: Modelling Location: Oxford, UK

Description

Our Modelling team offers recent graduates excellent development opportunities through an extensive training program and high-impact projects.

This is a unique opportunity for a recent university graduate or a professional seeking to build their career in the energy sector and join our Oxford office as an Energy Modelling Analyst. The role will focus on modelling power markets, contributing to our efforts by developing analytical and computational tools, enhancing our modelling methodology, analysing data, formulating recommendations on future trends, and conveying insights to enhance clients’ decision-making.

Key Responsibilities

  • Contribute to the development and maintenance of Aurora’s international natural gas market model.
  • Work closely with our research and advisory team to define and implement scenario-specific input assumptions and to derive insights from model results.
  • Contribute to continuously improve how the modelling team operates.

Skills, Knowledge and Expertise

Required attributes:

  • Relevant degree in Physics, Engineering, Mathematics, Computer Science, Economics or another quantitative field
  • A genuine enjoyment of working through complex problems and the ability to explain your reasoning clearly
  • Experience working with quantitative data through coursework, projects, or internships, including analysing data and drawing insights
  • Familiarity with at least one programming language, such as Python or similar
  • Strong communication and collaboration skills
  • Proficiency in English (C1 level or above)

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Desirable attributes:

  • Relevant Master’s degree or PhD
  • Internship, research, or work experience in a quantitative or technical setting
  • An interest in energy markets and how well-designed models improve real-world decisions
  • Knowledge of statistical and/or optimization techniques
  • Comfortable using AI tools to support coding and analysis, with a critical eye for reviewing AI-generated output
  • Knowledge of an algebraic modelling language, e.g. GAMS.

What we offer

Some of the benefits we include are:

  • Private Medical Insurance
  • Dental Insurance
  • Parental Support
  • Salary-Exchange Pension
  • Employee Assistance Programme (EAP)
  • Local Oxford Discounts
  • Cycle-to-work Scheme
  • Flu Jabs

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At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let’s discuss what works for you and AER during the interview process.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period.

Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.

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Skills

Physics
Engineering
Mathematics
Computer Science
Economics
Quantitative Data Analysis
Python
Communication
Collaboration
Statistical Techniques
Optimization Techniques
AI Tools
Algebraic Modelling Language
Data Analysis
Problem Solving

Location

Oxford, England, United Kingdom

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