Energy Trading Optimisation Analyst role in Sydney
In short
We are seeking an analytical Energy Trading Optimisation Analyst to join a high-performing trading team in Sydney. You will utilise your technical skills in Python and SQL to develop forecasting models, optimise portfolio strategies, and drive commercial outcomes in the National Electricity Market (NEM).
Highlights
- Optimise trading strategies and portfolio performance across the National Electricity Market (NEM)
- Utilise Python and SQL to build advanced forecasting models and analyse market trends
- Collaborate with the trading desk to drive commercial value and mitigate risk
More about this Energy Trading Optimisation Analyst Role
Join a fast-growing team driving Australia’s clean energy transition. They develop advanced software solutions for large-scale batteries and hybrid renewable systems, optimising operations and market performance across the National Electricity Market (NEM).
What You’ll Do:
-Support and enhance battery trading software.
-Integrate trading strategies and automate market orders.
-Monitor asset performance and market signals.
-Develop features using Java, Python, and modern frameworks.
What You Bring:
-Experience as a trader or trading analyst in the NEM.
-Degree in Engineering, Computer Science, or similar.
-Strong coding skills (Python) in event-driven systems.
-Familiarity with low-latency architectures and real-time control.
If interested in this role, please apply or reach out to karina.wright@enemixgroup.com
Job Title
If you feel you would be suitable for this Energy Trading Optimisation Analyst role then please apply below and your specialist consultant Karina Wright will be in touch with you, alternatively, you can reach out the them directly by calling 02 9129 2264
Location
This job is located in Sydney, NSW
Employment Type
Hybrid
Salary information
The available salary for this role is Negotiable depending on experience