Energy Trader

Habitat Energy is seeking an Energy Trader in Melbourne, Australia, to optimize and trade energy storage and renewable assets. Responsibilities include asset onboarding, risk assessment, trading strategy development, and performance analysis within the Australian National Electricity Market (NEM). Candidates should have a relevant degree and experience in energy trading or quantitative analysis. The role is office-based, indicating it is not a remote position.
Energy Trader

Habitat Energy is a fast growing technology company focussed on the trading and algorithmic optimisation of energy storage and renewable assets around the world. Our mission is to deliver outstanding returns to our clients to increase the attractiveness of renewable energy globally and support the transition to a clean energy future. Our rapidly growing team of 90+ 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 an Energy Spot Trader, in Australia, to join our team. As an integral member of our commercial team, you will shape 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.

Your responsibilities will include:

- 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 Habtitat 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_
- Optimization of physical and financial trading positions within real-time electricity markets with a key focus on maximizing value capture for our clients.
- Collaboration within Habitat teams to develop and implement trading strategies to achieve targets whilst complying with risk limits and trading control procedures.
- Support analysis and platform improvement to aid in achieving profit targets and the optimal dispatch of client portfolios.
- Real-time management and optimization of trading positions to achieve operational goals.
- Performance Monitoring, Reporting & Analysis_
- Comparison of Habitat's results with similar assets in the market.
- Performance monitoring of trading outcomes and client portfolios.
- Analysis of the NEM to understand fundamental drivers of market characteristics.
- Risk Management & Structured Products_
- Risk management in the electricity market and regulatory risks.
- Additional Responsibilities_
- Algorithm improvement and analysis of trading strategies.
- Market analysis, including Habitat's view of price forecasts and other inputs to the forecasting models.

'Must have' skills and experience:

- A degree in business, economics, finance, computer science, engineering or related field
- Experience in trading (energy or commodities), quantitative analysis or project finance.
- 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 market fundamentals;

'Nice to have' skills and experience:

- Experience with operations or asset management for renewables 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.

In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. This role works to shift patterns that may include some weekends and night shifts.