Senior Consultant - Energy Markets

Overview:

A boutique energy consultancy is seeking a commercial market modeller who builds and runs NEM models hands on. Your work will shape investment, contracting and policy decisions for generators, developers and investors.

Suits a modeller who wants to front clients and turn results into commercial advice. You will join a small, highly technical team trusted by governments, utilities and investors nationally.

Responsibilities:

• Build, run and maintain NEM market models forecasting prices, dispatch, revenues and asset value
• Model generation, storage and transmission scenarios under evolving policy and regulatory settings
• Develop and challenge key assumptions including demand, fuel costs, new entrant costs and bidding behaviour
• Frame client questions into clear modelling scopes and identify the commercial decision each analysis supports
• Translate modelling outputs into commercial advice on offtake, contracting, valuation and investment
• Prepare reports and present slide packs to clients, investors and senior stakeholders
• Act as day to day technical point of contact, managing scope, timelines and quality
• Review analysis prepared by junior staff and contribute to proposals and new business
• Improve modelling tools, datasets and methodologies as the market and regulation evolve

Required Experience:

• 4+ years building and running NEM market models; candidates without hands on modelling experience will not be considered
• Hands on with PLEXOS or comparable platforms, owning inputs, simulations and output validation
• Background in a consultancy, gentailer or developer modelling team
• Modelling that directly supported PPAs, hedging, asset valuation, investment cases or transactions
• Strong grasp of NEM dispatch, pricing, contract markets and generation and storage economics
• Confident applying SRMC, LRMC and supply and demand fundamentals to market outcomes
• Python, SQL or similar used day to day for data handling and model automation
• Track record presenting results and defending assumptions to clients and senior stakeholders

Qualifications:

• Degree in Economics, Engineering, Mathematics, Computer Science, Statistics or another highly quantitative discipline
• Postgraduate study in economics, energy or a quantitative field regarded