Master information

Task description and requirements

Key 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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