Energy Modelling Analyst

Aurora Energy Research; Oxford; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A leading energy research company in Oxford seeks a recent graduate to join their modelling team. You will develop analytical tools and enhance methodologies to support decision-making in energy markets. The role offers hybrid working and a range of benefits including private medical insurance and a cycle-to-work scheme.

Benefits

Private Medical Insurance

Dental Insurance

Parental Support

Salary-Exchange Pension

Employee Assistance Programme (EAP)

Local Oxford Discounts

Cycle-to-work Scheme

Flu Jabs

Qualifications

• Ability to collect, analyse and interpret complex quantitative data.
• Knowledge of statistical or stochastic modelling.

Responsibilities

• Develop models for Aurora's software solutions to provide insights.
• Collaborate with research teams to derive insights from model results.
• Contribute to continuous improvement of processes within the modelling team.

Skills

Problem Solving

Analytical Ability

Interpersonal Skills

Education

Relevant degree in Economics, Engineering, Mathematics, Computer Science

Relevant Master’s degree or PhD

Tools

C++

Matlab

Python

R

Java

GAMS

AMPL

Job description

Department: Modelling

Location: Oxford, UK

Description

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.