Energy Trader

Overview Join to apply for the Energy Trader role at Habitat Energy . Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 110+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management. We have a vacancy for a Energy Spot Trader to join our Trading team based in Melbourne. This role will be an integral member of our commercial team, shaping our asset optimisation and trading efforts. The role will focus on the Australian National Electricity Market (NEM) and will be based in our office in Melbourne. Responsibilities Asset & Client Onboarding: Assess risks and opportunities of asset operations by coordinating with the client team; support relationships with key clients, market operators, and other key stakeholders. Asset Planning & Reporting: Develop and refine Habitat trading protocols and operational workflows; provide input into the product development roadmap and service offerings, identifying new market opportunities, and work internally to establish requirements and execute on service development. Trading, Optimisation, and Dispatch: Optimize physical and financial trading positions within real-time electricity markets with a focus on maximizing value capture for clients; collaborate with Habitat teams to develop and implement trading strategies while complying with risk limits and trading control procedures; support analysis and platform improvement to aid in achieving profit targets and optimal dispatch of client portfolios; 24/7 shift roster to manage operational facilities. Performance Monitoring, Reporting & Analysis: Compare Habitat’s results with similar assets in the market; monitor trading outcomes and client portfolios; analyse the NEM to understand fundamental drivers of market characteristics. Additional Responsibilities: Algorithm improvement and analysis of trading strategies; market analysis, including Habitat's view of price forecasts and other inputs to forecasting models. Required Skills And Experience A degree in business, economics, finance, computer science, engineering or related field 2+ years of physical or financial trading experience in Australian electricity markets Experience in providing outstanding customer service Intuition, can-do attitude and adaptability to embrace new ways of thinking Strong judgement in high pressure, high value situations Ability to prioritise workload in time pressured environment Passion for delivering complex problems to a range of audiences Strong understanding of the operations, rules, infrastructure and organisations in the NEM Knowledge of real-time energy and ancillary service wholesale market fundamentals Nice To Have Experience with operations or asset management for renewables, battery storage and hybrid assets Comfortable working with analysis packages that are Python-based Ability to query relational databases and visualise results in business intelligence tools Experience with linear optimisation programming Employment Details Seniority level: Entry level Employment type: Full-time Job function: Finance and Sales Industries: Services for Renewable Energy We’re encouraging applicants from diverse backgrounds and value a respectful, challenging environment focused on delivering high-quality, meaningful work. If you don’t meet every requirement, we still encourage you to apply. Additional Information In return, we’ll offer a competitive salary, flexible working arrangements and opportunities for personal development. The role may include shift patterns that include some weekends and night shifts. When you apply, we process some of your personal information. See our candidate privacy policy for details. #J-18808-Ljbffr