Jobs at Castleton Commodities International

Hands-on technical lead for tax modernization: design and build automation, reporting, reconciliation, and workflow solutions across income tax, indirect tax, provision, compliance, transfer pricing, and related processes. Partner with Tax, Finance, IT, Data, and business stakeholders to improve data quality, controls, dashboards, and integrations (SAP and enterprise systems). Support implementations, testing, documentation, training, and process governance.

The role involves developing and supporting applications for commodities trading, enhancing integrations, maintaining data pipelines, and collaborating with various teams for effective solution delivery.

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.

Two-year rotational leadership program based in Houston offering four six-month rotations across operations and finance (settlements, trading operations, treasury, credit, tax, enterprise improvement, product control) with training, special projects, and potential conversion to a full-time role.

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.

Support building and optimizing data ingestion, ETL, and transformation pipelines using Python and SQL. Work with Snowflake and cloud platforms to store and validate structured and semi-structured data, automate workflows (Airflow), conduct data quality checks, and document pipeline architecture for use by trading and analytics teams.

Work with Data Science, Data Engineering, and Commercial teams to build and optimize data ingestion, ETL, and transformation pipelines using Python and SQL, publishing to Snowflake. Implement data quality checks, automate workflows (Airflow or similar), transition legacy datasets to cloud-native architectures, and document pipeline logic and data models for analytics and forecasting.

Work with the Global Data Science team to analyze energy market time series, build and optimize forecasting models (ARIMA/SARIMA, XGBoost, LSTM), design data ingestion pipelines, back-test datasets, and deliver insights to traders and analysts to support forecasting and risk management.

Summer internship contributing to front-office trading analytics: build Python microservices and APIs, develop real-time trading tools and visualizations (Streamlit), work with cloud-native AWS services, Kubernetes, Kafka and Snowflake, support CI/CD and DevOps, and help integrate ML-driven analytics into trading workflows.

Summer internship on the Global Data Science team to develop and optimize time-series forecasting models (ARIMA/SARIMA, XGBoost, LSTM). Support end-to-end data ingestion, back-test datasets, collaborate with traders and analysts, and conduct ad hoc research on energy fundamentals and analytics trends.

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 leadership program with up to four six-month rotations across settlements, trading operations, treasury, credit, tax, enterprise improvement, data management, P&L/product control and commercial teams. Participants receive training, work on strategic projects, and may receive full-time offers from host groups.

Summer internship building front-office analytics and trading tools: develop Python microservices and APIs, create Streamlit dashboards, work with AWS, Kubernetes, Kafka, Snowflake, and CI/CD to support trading workflows and integrate ML-driven analytics.

Two-year rotational program for new graduates to develop leaders in operations and finance. Participants complete four six-month rotations across settlements, trading operations, treasury, credit, tax, enterprise improvement, and product control, work on strategic projects, receive training, and may receive full-time offers from host groups.

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.

Summer internship to support physical and financial commodities trading desks. Responsibilities include market analysis, building and back-testing forecasting and risk models, research on market fundamentals, identifying trade ideas, and presenting findings. Paired with mentors and exposed to senior leadership; potential return offers or rotational analyst program placement.

Ten-week rotational internship across Operations, Finance, and commercial groups. Rotations may include settlements, trading operations, treasury, credit, tax, enterprise improvement, data management, and product control. Participants receive training, work on strategic projects, and interact with senior leaders to develop technical and industry skills.

Two-year rotational analyst program for graduating students to train in physical and financial commodity trading. Analysts rotate across desks, build models, analyze markets and risks, design and back-test trade ideas, and work with research teams. Program includes mentorship, presentations, and potential permanent desk placement based on performance.

Oversee and manage payroll processes for US and Canadian employees, ensuring accuracy, compliance with tax reporting, and effective communication with stakeholders.

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.