About Us

We are a major provider of electricity and energy solutions to Queensland, the National Electricity Market and large energy users throughout Australia.

We’re creating a new, lower carbon generation portfolio that’s complemented by energy storage, we’re driving the development of a renewable hydrogen export industry in Central Queensland and we’re keeping the lights on as the State’s energy industry transforms.

While our energy future is not defined by our coal-fired generation, our transformation will be supported by it.

We own and operate two of the most efficient coal-fired power stations in Australia - the Tarong power stations near Kingaroy, and Stanwell Power Station west of Rockhampton. We can ramp generation from our coal-fired power stations up and down as needed, to let solar generation shine in the middle of the day, and still provide the electricity people need in the mornings and evenings. We also own Meandu Mine, adjacent to our Tarong power stations, to provide low-cost fuel for the station.

We’re putting our energy into finding better, cleaner ways to reliably generate, store and move electricity for our customers. Through our pipeline of proposed renewable energy projects throughout central and southern Queensland we’ll reduce our emissions intensity and create future opportunities for our people and communities. We’re also leading Australia’s renewable hydrogen industry, with plans progressing to develop the country’s largest green hydrogen export hub in Gladstone, Central Queensland.

We care. We adapt. We deliver. These values are the driving force behind everything we do. As we continue to serve our communities and deliver the power Queensland needs, we ‘ll contribute to the achievement of Queensland’s emission reduction targets and we’ll achieve year-on-year reductions in our emissions intensity.

At Stanwell, we provide the spark for a bright future. That future starts now.

About the Role

The Quantitative Analytics Specialist will design, develop, and maintain quantitative risk models written in Python or other programming languages as applicable. Additionally, the role will provide a specialist quantitative analytics and advisory function, engaged to provide mathematical and analytical problem solving capabilities in order to facilitate effective decision making throughout quantitative risk, treasury and trading.

You will join an experienced team and be responsible for:

• Model operation. Contribute to the smooth operation and support of models that are used by the QRA team. The QRA team has over 20 complex models in operation at any time. This role ensures they operate with the level of accuracy and reliability that is required by Executive Management and Board policies.
• Methodology design. The bespoke energy market requires unique solutions to complex problems not encountered in other financial markets. This role contributes to the engineering of methodologies that solve these problems, aligning to industry best practice where possible.
• Model accuracy. Model results are used to give Executive and Board members comfort in Stanwell’s exposures, and relied on by multiple other teams/divisions including Trading, Treasury and Finance. As such, accuracy of results is a key component of this role.
• Regulatory Change. The energy market is often subject to significant regulatory change. This role is will plan changes to models and methodologies that are required to ensure compliance under the new market conditions. Such changes should be planned such that they will be delivered within prescribed compliance deadlines.
• Model development best practices. Determine the most effective techniques for development of models that are used by QRA, taking into account programming languages, libraries, and techniques.
• Tool design and development. Design and build new models, tools, and APIs to be used by the business for the purposes of quantitative analysis. Uplift existing models to ensure consistency of approach.

Based in our Brisbane office, this is a permanent full-time opportunity reporting into the Senior Quantitative Analytics Specialist.

About You

• Tertiary qualified in relevant quantitative fields, including Mathematics, Statistics, Engineering, Physics or Computer Science
• Proven ability to program at an advanced level in Python
• Strong knowledge of data driven modelling in Python using pandas
• Knowledge of version control using Git would be beneficial
• Very high level numerical and complex reasoning skills
• High level written and verbal communication skills

How to Apply

To submit your application, please apply online with your CV and please include a response to the following questions in your cover letter.

- Can you tell us about your development code experience?

- Which part of the role is of particular interest to you for example the maths, coding Devops or finance side?

Further information on Stanwell can be found online at www.stanwell.com

Please note that it is a requirement that all successful candidates complete and successfully pass pre-employment background screen as well as a pre employment drug screen.