Jobs at Castleton Commodities International

Partner with stakeholders to discover AI use cases, configure enterprise GenAI tools, build and maintain high-quality prompts, contexts, and RAG/document-intelligence pipelines, evaluate and improve AI outputs, create reusable playbooks/templates, and enable teams on governed, production-ready AI workflows.

Coordinate daily European power and gas scheduling, including nominations, position reconciliation, interconnector transmission rights, imbalance and settlement support, and exception resolution with traders, TSOs, counterparties, and market operators. Develop operational reports, improve controls and processes, and support market onboarding and change-management projects. The role requires accuracy, deadline discipline, quantitative ability, and occasional weekend or extended-hours coverage.

Design, build, and maintain end-to-end data ingestion pipelines and data architecture. Transition datasets to a new stack, map/standardize/normalize data, monitor data quality, manage vendor data inputs, and partner with commercial trading teams to gather requirements and support analytics and investing use cases.

Summer internship exposing students to physical and financial commodity trading, focusing on market analysis, risk, and technology. Tasks include building models, back-testing strategies, researching market fundamentals, identifying trading opportunities, and presenting findings. Participants receive mentorship, interact with senior leaders, and may be offered full-time roles or rotational analyst positions.

Two-year rotational graduate programme placing analysts on physical and financial commodity trading desks, risk, or weather teams. Responsibilities include market analysis, model development, statistical research, trade idea design and back-testing, and collaboration with internal and external research teams to manage trading risk.

The Hydrologist role involves designing and maintaining quantitative forecasting tools for hydrological variables, integrating them into power generation forecasts. The role requires strong programming skills and familiarity with hydrological modeling.