Hartree Partners is a global commodities firm with a long-standing presence across energy and broader markets. With offices in key financial centres worldwide, the firm combines deep market expertise with a forward-looking approach to innovation and technology.
As markets evolve, Hartree focuses on helping clients navigate complexity, unlock value, and manage risk effectively. The business works with a diverse range of customers including corporates, financial institutions, and governments, delivering insight-driven solutions across physical and financial markets.
Job Summary
We are looking for an AI Enablement Analyst to work directly with our Cottons trading desk, helping to design and embed AI-powered tools into day-to-day trading and analytical workflows.
This is a highly collaborative role where you will sit at the intersection of trading, data, and technology. You will translate real trading needs into practical AI solutions, building intelligent workflows and tools that enhance decision-making, streamline reporting, and improve insight generation.
Key Responsibilities & Duties
- Work closely with traders, analysts, and desk leads to understand workflows, challenges, and opportunities for AI integration
- Design and develop AI-driven solutions, including prompts, agents, and workflows on internal platforms
- Build tools that support:
- Natural language queries and desk interaction
- Market research and analytics synthesis
- PnL, position, and exposure analysis
- Automated reporting and performance summaries
- Continuously refine AI outputs through structured testing, iteration, and performance evaluation
- Develop and maintain prompt libraries, agent playbooks, and evaluation frameworks
- Collaborate with technology, data, and risk teams to ensure solutions are secure, reliable, and production-ready
- Support adoption of AI tools through training, demos, and ongoing engagement with the desk
- Act as a key link between business users and technical teams, ensuring solutions are practical and impactful
Requirements: Education, Competencies & Skills
- Python or scripting experience for analysis, prototyping, or automation
- 2–4 years’ experience in a relevant environment, such as:
- Trading technology or IT supporting front-office teams
- Quantitative, analytics, or risk roles with market exposure
- Commodities or financial markets roles with a strong technical focus
- Good understanding of financial instruments such as equities, futures, options, or derivatives
- Strong communication skills, with confidence working directly with traders and analysts
- Ability to translate business needs into practical technical solutions
Preferred Requirements
- Experience with large language models (LLMs), prompt engineering, or AI agent frameworks
- Exposure to building AI tools or GPT-style applications (professionally or independently)
- Familiarity with market data platforms or trading systems (e.g. Bloomberg, Refinitiv, or similar)
- Understanding of PnL reporting, exposure analysis, or trading desk risk metrics
- Experience working in cross-functional or technology-driven environments
- Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, Finance, Physics, or a related field
