Senior Consultant - NEM Market Modelling

**Overview:** An established energy advisory firm seeks a Senior Consultant to deliver electricity market modelling across the NEM. You will turn modelling outputs into clear commercial advice on investment, pricing and market risk. Suits a modeller with 4 to 6 years' experience who enjoys client work as much as the numbers. **Responsibilities:** * Build, run and maintain NEM market models for price projections, dispatch outcomes and asset revenue forecasts * Model generation, storage and renewable assets under a range of market, policy and technology scenarios * Run scenario and sensitivity analysis on demand, fuel prices, new entry, retirements and transmission * Keep modelling assumptions current with rule changes, policy developments and market reform * Interpret modelling results and translate them into clear commercial insights for clients * Understand each client's business problem and shape the modelling approach around it * Prepare and present reports and slide packs to clients, explaining results, drivers and risks * Act as the day to day technical contact on projects, managing scope, timelines and quality * Review analysis prepared by junior team members and provide feedback * Contribute to proposals and support subscription and advisory work as the team grows * Help improve modelling tools, datasets and internal processes **Required Experience:** * 4 to 6 years in electricity market modelling, advisory or analytics * Strong NEM market knowledge, including how pricing, dispatch and new investment interact * Hands on experience with PLEXOS or any comparable market modelling platform, including proprietary tools * Proven ability to explain complex modelling to commercial and non technical audiences * Confident presenter who can engage clients on their issues, not just the outputs * Background in consultancy, a generator, retailer, market operator or network business * Exposure to transactions, investment decisions or asset valuations well regarded but not required * Strong data handling skills, with Python, SQL, R or advanced Excel **Qualifications:** * Degree in Engineering, Mathematics, Computer Science, Economics, Statistics or a related quantitative field * Postgraduate study in energy, economics or a quantitative discipline well regarded