D'Arcy Weil is representing a major integrated energy company operating substantial energy trading and generation operations across Australia. They manage complex portfolios spanning wholesale electricity, gas trading, and environmental certificates, supported by sophisticated trading platforms and quantitative analytics frameworks. The business is expanding quantitative capability to support trading operations, risk management, and commercial decision-making. They require experienced quantitative expertise to develop pricing models, risk analytics, and portfolio optimisation tools supporting front office activities and risk frameworks. They are seeking a Quantitative Analyst to develop and maintain quantitative models and analytics for energy markets. This role offers the opportunity to work on sophisticated pricing problems whilst supporting trading, risk, and commercial teams in a dynamic energy trading environment. The Role As Quantitative Analyst - Energy Markets, you will develop, implement, and maintain quantitative models supporting energy trading, risk management, and portfolio analysis. This role requires strong mathematical and programming skills, understanding of energy markets, and the ability to translate complex quantitative concepts into practical trading and risk applications. You will build pricing models for energy products and derivatives, develop risk analytics including VaR and scenario analysis, create portfolio optimisation tools, and support trading and risk teams with quantitative analysis. Working closely with traders, risk managers, and technology teams, you will ensure models are robust, appropriate, and effectively implemented within trading systems. This is a technical role requiring both quantitative rigour and practical application, with direct impact on trading strategies, risk management, and commercial outcomes. Key Responsibilities Model Development & Implementation: Develop quantitative models for pricing energy products including power, gas, and environmental certificates Build valuation models for energy derivatives, structured products, and optionality Implement pricing models within trading and risk management systems Develop forward curve construction methodologies and volatility surface models Create models for asset valuation including generation portfolios and storage systems Validate and calibrate models using market data and historical analysis Risk Analytics: Develop risk metrics including Value-at-Risk, stress testing, and scenario analysis frameworks Build attribution models for portfolio P&L analysis Create exposure metrics for volumetric risk, basis risk, and shape risk Develop tools for sensitivity analysis and risk decomposition Support risk reporting requirements with analytical tools and methodologies Implement Monte Carlo simulation frameworks for risk assessment Portfolio Optimisation & Analysis: Develop optimisation models for portfolio construction and hedging strategies Build tools for asset dispatch optimisation and generation portfolio management Create analytical frameworks for evaluating trading strategies and commercial opportunities Develop models for contract structuring and deal evaluation Support renewable energy integration and battery storage optimisation Analyse market fundamentals and price formation dynamics Market Analysis & Research: Analyse Australian electricity and gas markets including NEM operations and pricing dynamics Research market drivers, supply-demand fundamentals, and price formation Develop analytical tools for market monitoring and opportunity identification Support commercial teams with quantitative analysis for deal structuring Evaluate new products, markets, and trading strategies Monitor model performance and recommend enhancements Collaboration & Support: Partner with trading teams on pricing, valuation, and strategy development Support risk teams with analytics, reporting, and methodology enhancement Collaborate with technology teams on system implementation and data integration Work with commercial teams on deal modelling and opportunity evaluation Document models, methodologies, and assumptions Present findings and recommendations to trading, risk, and management teams Requirements Tertiary qualification in mathematics, physics, engineering, finance, or quantitative discipline (Honours or Masters preferred) 3-7 years' experience in quantitative analysis for energy markets, commodities, or financial markets Strong mathematical and statistical skills including stochastic calculus, optimisation, and numerical methods Advanced programming capability in Python, R, MATLAB, or similar quantitative tools Experience developing pricing models for energy products or commodity derivatives Understanding of Australian electricity and gas markets including NEM operations and market structures Knowledge of risk metrics including VaR, stress testing, and exposure analysis Experience with Monte Carlo simulation, optimisation algorithms, and statistical modelling Familiarity with energy trading concepts including forward curves, volatility, and basis risk Strong analytical and problem-solving skills with attention to detail Ability to communicate complex quantitative concepts to non-technical stakeholders Experience with trading and risk management systems desirable Understanding of renewable energy, battery storage, or environmental markets advantageous Background in energy trading, utilities, investment banking, or quantitative finance preferred What This Role Offers Work on sophisticated quantitative problems in energy markets Exposure to power, gas, renewables, and environmental commodity markets Collaborate with trading, risk, and commercial teams in dynamic environment Opportunity to develop models with direct impact on trading and risk outcomes Career progression within major integrated energy company Access to market data, trading systems, and analytical infrastructure Melbourne-based role with hybrid working arrangements Collaborative team environment with experienced quantitative and trading professionals Please submit your CV and a professional biography addressing: Experience developing quantitative models for energy markets or commodity trading Technical skills including programming languages, mathematical techniques, and analytical tools Understanding of Australian energy markets and energy trading concepts Examples of models or analytics you have developed and their practical application Ability to collaborate with trading, risk, and commercial teams whilst delivering technical solutions For Further Information Contact Ivan Pignataro | Director D'Arcy Weil T: 61 3 9999 7409 M: 0416 507 856 E: ivan@darcyweil.com This role is being managed exclusively by Ivan Pignataro at D'Arcy Weil. All applications will be treated in the strictest confidence.
