Job Responsibilities:
* Develop and implement quantitative models for energy market forecasting, pricing, and risk assessment.
* Work closely with traders, risk managers, and data scientists to enhance decision-making strategies.
* Utilize machine learning, statistical modeling, and time series analysis to improve market predictions.
* Analyze large datasets related to renewable energy sources (wind, solar, hydro, etc.) and energy trading.
* Optimize algorithms for power trading, hedging strategies, and asset valuation.
* Collaborate with stakeholders to provide insights on energy price dynamics and market trends.
Key Requirements:
* Experience in the renewable energy sector (power trading, electricity markets, renewable asset modeling).
* Strong programming skills in Python, R, MATLAB, or C++.
* Expertise in statistical modeling, stochastic processes, and machine learning techniques.
* Hands-on experience with energy market data, risk management, and optimization models.
* Knowledge of power markets, PPAs, battery storage, and renewable energy forecasting.
* Ability to work in a fast-paced, data-driven environment and communicate complex models effectively.
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