London

£50-80k

Are you a talented Data Scientist with a passion for energy trading and a knack for solving complex business problems?

Key Responsibilities:

• Collaborate with stakeholders and traders to understand business needs and develop solutions.
• Utilize supervised learning algorithms, including Bayesian logic, to set up trading strategies.
• Build and deploy forecasting machine learning models to optimize trading decisions.
• Apply quantitative analysis to establish machine learning models and address business challenges effectively.
• Leverage your strong mathematical background to develop innovative solutions for energy trading.

Ideal Profile:

• Previous experience working in a front office-facing role, with the ability to communicate effectively with stakeholders and traders.
• Proficiency in setting up supervised learning algorithms and building forecasting ML models.
• Strong mathematical background, preferably with experience in quantitative analysis or a pure mathematics background.
• Experience in the energy sector or other commodities trading industries is desirable.
• Strong mathematics background