A dynamic and forward-thinking power trading firm is seeking a Quantitative Trading Analyst to join its team focused on Virtual, FTR, and Cash trading. This role involves developing and deploying trading strategies, optimizing portfolio construction, and building robust analytical models to support decision-making in complex and data-rich environments.
Key Responsibilities
• Collaborate with traders and quantitative researchers to solve challenging technical and analytical problems.
• Develop statistical and simulation-based models to inform trading and investment strategies.
• Integrate structured and semi-structured data into scalable systems for scenario analysis and probabilistic forecasting.
• Contribute to a fast-paced, iterative development environment that values innovation and continuous improvement.
What They Value
• A creative, rigorous approach to problem-solving.
• Cross-disciplinary collaboration and knowledge-sharing.
• Innovative thinking to address the unique challenges of electricity markets, including incomplete information and dynamic systems.
Qualifications
• Bachelor's or Master's degree in a technical field (e.g., Mathematics, Statistics, Physics, Economics, Engineering) or equivalent experience.
• Strong foundation in probability, statistics, and familiarity with machine learning techniques.
• Proficiency in Python and libraries such as NumPy, Pandas, SciPy, Dask, Ray, and Streamlit.
• Experience designing mathematical models and working with large, complex datasets.
• Ability to manage multiple projects in a dynamic, high-pressure environment.
• Knowledge of trading exposure, financial implications, and power markets is a plus but not required.
