Main responsibilities
1. Strategy development and optimization: Design, build and backtest high-frequency energy storage trading and optimization algorithms based on the characteristics of the Chinese electricity market, focusing on peak-valley arbitrage, demand-side response and ancillary service opportunities.
2. Market analysis: In-depth analysis of mainland China's electricity market policy trends, and continuous monitoring of market dynamics to identify new revenue streams.
3. Real-time operations and scheduling: Execute daily power transactions and asset scheduling decisions, manage communication with grid operators to ensure assets are operated according to strategy and comply with all market rules.
4. Data analysis and modeling: Process and analyze large amounts of data (historical electricity prices, loads, weather data), use Python/SQL tools to build prediction models, and predict short-term electricity prices and system demand.
5. Risk Management: Monitor and report trading positions, evaluate market risk, and implement control measures to manage volatility.
Job Requirements
Basic requirements:
1. Have a bachelor's or master's degree in electrical engineering, financial engineering, economics, mathematics, physics or related fields.
2. At least 3 years of relevant work experience in mature electricity markets (such as Mainland China, Singapore, Australia, Europe) in electricity trading, asset optimization or energy analysis.
3. Familiar with the power market structure, understand the power purchase agreement, electricity pricing mechanism and ancillary service framework with the State Grid or Southern Grid.
4. Have strong programming skills, especially in Python, for data analysis, modeling, and automation. Proficient in SQL database queries.
5. Excellent data analysis, statistical modeling, and problem-solving skills.
Have excellent business acumen, with a deep understanding of risk-reward trade-offs.
6. Have experience in operating large-scale energy storage stations.
