Modelling Analyst - Portfolio Design

Minimum Qualifications:
Bachelor's degree in a numerical discipline (e.g., data science, mathematics, statistics) or a field with a focus on quantitative risk. Proficiency in scientific programming languages such as Matlab, R, Python, and SQL.
Experience in quantitative analysis, with strong knowledge in stochastic modelling, financial risk measures (e.g., EaR, VaR), and optimisation methods.
Experience with data integration, analysis, and reporting across large datasets.
Skilled in designing and developing innovative models and quantitative tools, with a solutions-oriented approach to evaluating and addressing portfolio risks and opportunities.
Strong interpersonal skills to build relationships across the business.
Preferred: Familiarity with the National Energy Market, machine learning methods, energy market fundamentals, and reporting tools (e.g., Power BI, Tableau).
You have a passion to be part of something bigger than yourself, that contributes to the delivery of a clean energy future crafted in Queensland.
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