Company Overview:
Energy is always evolving. At Hartree Partners, we use our decades of experience in the physical and financial energy and commodities markets to explore the opportunities this evolution provides. We assist our customers in participating in new markets and navigating their complexities for maximum revenues at minimum risk.
We provide a wide range of services to a substantial and diversified customer base that includes corporations, financial institutions, governments and individuals.
Find out more about us by visiting our website at: http://www.hartreepartners.com/
Duties & Responsibilities:
- Work embedded with Equities traders, analysts, and desk management to understand workflows, data needs, and decision points.
- Translate desk requirements into high-quality AI prompts, agent workflows, and tool integrations on our in-house AI Platform.
- Design and iterate AI behaviors for:
-Natural-language desk Q&A
-Research synthesis and analytics
-PnL, position, and exposure analysis
-Automated reporting and desk summaries
-(Potentially) trade-support and booking-related workflows with appropriate controls
- Develop and maintain prompt libraries, agent playbooks, evaluation datasets, and quality metrics.
- Perform structured testing (prompt iteration, error analysis, guardrails) to improve reliability, consistency, and trust.
- Partner with internal technology, data, and risk/compliance teams as needed to ensure secure, auditable, and production-ready AI usage.
- Act as a bridge between the desk and technology, helping drive adoption through training, demos, and continuous feedback loops.
What Success Looks Like:
- Traders and analysts rely on the Equities Agent for faster insights, clearer analytics, and improved reporting.
- Prompts and workflows are robust, repeatable, and measurable, not one-off experiments.
- AI outputs demonstrate strong handling of financial context, market data, and desk-specific nuance.
- You’re viewed as a trusted partner by both the desk and technology stakeholders.
- Please note this role is not designed as a route into trading
Education/Experience:
- 2–4 years of experience in one or more of the following:
-Trading Technology / IT supporting Equities, Derivatives, or Commodities desks
-Quantitative, analytics, or risk roles with market-facing exposure
-Finance or commodities roles with strong technical orientation
- Working knowledge of equities, futures, options, or derivatives and how desks consume analytics and reporting.
- Strong communication skills and comfort engaging directly with traders and analysts.
- Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Math, Finance, Physics, or related fields.
Strongly Preferred
- Prior experience with LLMs, prompt engineering, agentic AI systems, RAG architectures, or evaluation frameworks.
- Evidence of building GPTs or AI agents (professional, academic, or personal projects).
- Background in trading systems, market data platforms, or analytics tooling (e.g., Bloomberg, Refinitiv, in-house systems).
- Python or scripting experience used for analysis, prototyping, or automation (helpful, not required).
- Familiarity with PnL reporting, exposure analysis, factor models, or desk risk views.
