Senior Data Scientist - Commodities Trading

About the Role

We are looking for a seasoned Data Scientist to join a global commodities trading company, focusing on creating sophisticated AI and analytics tools to support trading and commercial strategies. This position entails collaboration with traders, analysts, and commercial teams to leverage AI, machine learning, and quantitative methods for commodity pricing, fundamental market analysis, forecasting, and trading analytics around the world.

Key Responsibilities

• Design and implement AI and machine learning models to aid in commodity price prediction, fundamental market analysis, and guiding trading decisions.
• Collaborate closely with traders and market analysts to integrate diverse datasets such as market data, pricing, supply and demand metrics, inventory levels, weather patterns, logistics, macroeconomics, and alternative data sources to pinpoint market influencers and generate actionable insights.
• Develop and refine forecast models utilizing time series analysis and machine learning techniques applied to multifaceted market datasets.
• Investigate and apply innovative AI technologies to improve research methodologies and trading process efficiency.
• Partner with data and technology teams to deploy models in production environments and enhance the robustness and accessibility of market data.

Candidate Requirements

• Proven experience as a Data Scientist in commodities, energy, or physical trading markets, with demonstrated ability to create and implement AI/ML applications.
• Strong expertise in commodity pricing, fundamental forecasting, time-series modeling, statistical evaluation, and machine learning approaches.
• Excellent skills in Python and SQL, with experience working on extensive and complex market and fundamental datasets.
• Practical understanding of employing AI/ML solutions in areas such as price forecasting, supply-demand modeling, market balance assessment, inventory management, flow analysis, or trading signal generation.
• Familiarity with Generative AI, large language models (LLMs), or AI-supported research and analytic workflows is a plus.
• Ability to integrate technical knowledge with commercial acumen to convert analytical and AI-derived insights into clear, actionable information for traders and commercial teams.

Additional Information

Interested candidates are invited to submit their resumes to the recruitment contact. Due to a significant volume of applicants, only those shortlisted will be contacted for further consideration.