* Lead innovative, data-driven trading strategies in real-time markets
* Mentor and shape a high-performing quant trading team
* Influence portfolio performance with strategic market impact
Company
A leading, data-driven energy retailer and trading business shaping Australia's energy market. With a focus on quantitative analysis, algorithmic trading, and real-time optimisation, the team delivers profitable outcomes, drives innovation, and supports the energy transition through sophisticated, market-informed decision‐making.
Role responsibilities
* Lead development and implementation of quantitative models for spot, forward, and short-term energy markets
* Analyse market data, forecasts, constraints, and price signals to inform high‐impact trading decisions
* Oversee algorithmic trading strategies, ensuring risk‐adjusted optimisation and compliance with risk limits
* Mentor junior quants and collaborate with trading, risk, and IT teams to enhance systems and models
* Provide strategic insights to senior management, supporting portfolio optimisation and market strategy
Skills required
* 3+ years' experience in quantitative or algorithmic energy trading, preferably in the NEM
* Expert in programming and data analytics (Python, R, MATLAB, SQL) for modelling and automation
* Deep understanding of electricity markets, spot/forward trading, and risk management frameworks
* AFMA accreditation (or working towards) and relevant degree (math, physics, engineering, finance)
* Strong leadership, communication, and decision‐making skills in high‐pressure trading environments
Next steps
If you have experience in quantitative trading in the NEM and are looking for your next challenge, please apply now or call Joel on 0466 697 913
#J-18808-Ljbffr