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- Tasks: Develop energy models and analytical tools to enhance decision-making in the energy market.
- Company: Join Aurora, a leading firm providing insights for energy companies and investors.
- Benefits: Enjoy private medical insurance, dental cover, flexible working, and local discounts.
- Why this job: Be part of a dynamic team shaping the future of energy with innovative modelling techniques.
- Qualifications: Recent graduates with degrees in quantitative fields; programming skills are a plus.
- Other info: Position starts in October 2025; hybrid work options available.
The predicted salary is between 28800 - 48000 £ per year.
Energy Modelling Analyst
Department: Modelling
Employment Type: Permanent – Full Time
Location: Oxford, UK
Description
Please note: the start date for this position is October 2025 .
Aurora’s modelling team create and maintain the energy models that underpin our subscription analytics, advisory, and software offerings. Our services are widely used by leading energy companies and investors.
Based in Oxford, you will contribute to our energy modelling 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.
The positions have a focus on modelling energy commodities (notably electricity) markets and suit a recent university graduate (MSc or PhD).
Key Responsibilities
- Develop the models that drive Aurora\’s software solutions to provide cutting-edge insights into the energy market
- Collaborate closely with our research and advisory teams to derive insights from model results, ensuring that they enhance clients’ decision making
- Customise and adapt models to reflect the intricacies of specific energy markets, while building analytical tools to enhance Aurora’s technical suite
- Actively contribute to the continuous improvement of processes within the broader modelling team
Skills, Knowledge and Expertise
Required attributes:
- Relevant degree in Economics, Engineering, Mathematics, Computer Science or other quantitative field
- Exceptional problem solving skills and analytical ability
- Ability to collect, analyse and interpret complex quantitative data and information
- Knowledge of one or more programming languages, e.g. C++, Matlab, Python, R, Java
- Strong interpersonal skills, and a great team player
Desirable attributes:
- 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 or stochastic modelling
- Knowledge of an algebraic modelling language, such as GAMS (preferred) or AMPL
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
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.
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Energy Modelling Analyst employer: Aurora Energy Research Limited
Contact Detail:
Aurora Energy Research Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Modelling Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in energy markets. Understanding current events and future projections will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your programming skills, especially in languages like Python or R. Being able to showcase your coding abilities through practical examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the energy sector. Attend industry conferences or webinars to meet potential colleagues and learn more about the company culture at Aurora.
✨Tip Number 4
Prepare to discuss specific modelling techniques you've used in your studies or projects. Being able to articulate your experience with statistical or stochastic modelling will show your readiness for the role.
We think you need these skills to ace Energy Modelling Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Energy Modelling Analyst role. Emphasise your educational background in Economics, Engineering, Mathematics, or Computer Science, and any programming languages you are proficient in.
Craft a Personal Summary: Write a compelling personal summary that showcases your passion for energy markets and modelling. Mention any specific projects or experiences that demonstrate your analytical abilities and problem-solving skills.
Salary Expectations: Be clear and realistic about your salary expectations. Research typical salaries for similar roles in the industry to ensure your expectations are aligned with market standards.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented professionally.
How to prepare for a job interview at Aurora Energy Research Limited
✨Showcase Your Technical Skills
Make sure to highlight your knowledge of programming languages like Python, R, or C++. Be prepared to discuss specific projects where you've applied these skills, especially in relation to energy modelling.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your exceptional problem-solving skills. Think about challenges you've faced in previous projects and how you approached them, particularly in analysing complex quantitative data.
✨Understand Energy Markets
Familiarise yourself with current trends and issues in energy markets. Being able to discuss these topics will show your genuine interest and understanding of the field, which is crucial for the role.
✨Prepare Questions for the Interviewers
Have thoughtful questions ready for your interviewers about the company's modelling methodologies and future projects. This shows your enthusiasm for the role and helps you assess if the company is the right fit for you.
