Power Flow Modeller

**Description**:
**Internal Title for this role will be (Senior) Energy Modeller**

This is a unique international opportunity for a professional seeking to build their career in the energy sector to join our Asia-Pacific region as a (Senior) Energy Modeller. 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.

The position requires a minimum of 3 to 5 years of experience in at least two of the following areas:

- Software development
- Optimisation or other quantitative modelling techniques
- Energy Market forecasting
- Power flow modelling

**Key Responsibilities**:

- Lead the implementation of modelling techniques to capture complex real-world issues within our models.
- Contribute to continuously improving how the modelling team operates
- Support the development of junior colleagues.

As a (Senior) Energy Modeller you will be an expert in either the development or configuration of Aurora’s modelling software, with some of the following specialist responsibilities:

- Working closely with Aurora’s Subscription Analytics and Advisory teams to deliver key market insights
- Delivering Aurora’s power flow models as robust, high-quality software for internal and external clients
- Advancing the use of software design best practice within the modelling team

**What we are looking for**:
**Required attributes**:

- At least 3 to 5 years of experience in developing models or software in a commercial environment.
- Relevant degree in Economics, Engineering, Mathematics, Computer Science, or other quantitative field from a top university.
- Knowledge of one programming language, e.g. Python, Matlab, C++,R, Java.
- Exceptional problem-solving skills and analytical ability.
- Deep interest in energy and/or decarbonization.
- Strong interpersonal skills, and a great team player.

**Desirable attributes**:

- Experience in the field of mathematical optimization
- Relevant PhD
- Line management experience
- Expert experience with Python
- Familiarity in software engineering best practice (version control, automatic testing, writing modular code)
- Experience of developing Energy market models and / or Power market models.

**What we offer**:

- A fun, informal, collaborative and international work culture
- A competitive salary package
- Access to regular coaching and mentoring sessions and the opportunity to learn from experienced professionals
- Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills within the responsibilities of your role and within the wider context of the industry
- Access to our Employee Assistance Programme (EAP), offering a complete support network that offers expert advice and compassionate guidance 24/7/365, covering a wide range of personal and professional aspects

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.

**About Aurora Energy Research**:
From its academic roots, Aurora Energy Research is a thriving, rapidly growing company, currently serving over 600 of the world’s most influential energy sector participants, including utilities, investors, and governments.

While we constantly strive to reach new markets and diversify our product portfolio, we are already active across the globe in Asia-Pacific, Latin America, Europe, and North America, working with leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software.

We are a diverse team of experts with vast energy, financial, and consulting backgrounds, covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven intelligence to fuel strategic decisions in the global energy transformation