Electrical & Electronic Engineering

Main responsibilities<br>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.<br>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.<br>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.<br>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.<br>5. Risk Management: Monitor and report trading positions, evaluate market risk, and implement control measures to manage volatility.<br><br>Job Requirements<br>Basic requirements:<br>1. Have a bachelor's or master's degree in electrical engineering, financial engineering, economics, mathematics, physics or related fields.<br>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.<br>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.<br>4. Have strong programming skills, especially in Python, for data analysis, modeling, and automation. Proficient in SQL database queries.<br>5. Excellent data analysis, statistical modeling, and problem-solving skills.<br>Have excellent business acumen, with a deep understanding of risk-reward trade-offs.<br><div>6. Have experience in operating large-scale energy storage stations.</div>