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Fundamental Modeling Analyst (Trading Analytics Energy Markets)
Location: Houston (Hybrid ~80% onsite)
Duration: 4-Month Contract
Overview
We are seeking a Fundamental Modeling Analyst to join a high-impact Trading Analytics & Insights team supporting Gas & Power Trading across North America.
This role sits at the intersection of quantitative modeling, data science, and trading, focused on building predictive models and actionable insights that directly influence trading strategies and commercial outcomes.
You ll work closely with traders, analysts, and strategists in a fast-paced, data-rich environment to solve complex market problems.
Key Responsibilities
Quantitative Modeling & Data Science
Fundamental Modeling Analyst (Trading Analytics Energy Markets)
Location: Houston (Hybrid ~80% onsite)
Duration: 4-Month Contract
Overview
We are seeking a Fundamental Modeling Analyst to join a high-impact Trading Analytics & Insights team supporting Gas & Power Trading across North America.
This role sits at the intersection of quantitative modeling, data science, and trading, focused on building predictive models and actionable insights that directly influence trading strategies and commercial outcomes.
You ll work closely with traders, analysts, and strategists in a fast-paced, data-rich environment to solve complex market problems.
Key Responsibilities
Quantitative Modeling & Data Science
- Develop and deploy machine learning and regression models
- Analyze large, complex datasets to generate trading insights
- Build scalable models to support fundamental energy market analysis
- Partner directly with traders and business stakeholders
- Translate business needs into analytical models and data solutions
- Deliver commercially actionable insights
- Work extensively with Python (pandas, numpy, sklearn)
- Manipulate and process large datasets from multiple sources
- Support development of data-driven trading strategies
- Identify new modeling approaches and analytical techniques
- Continuously improve models and methodologies
- Contribute to a culture of innovation and experimentation
- Bachelor s degree in STEM or quantitative field
- 3 5 years of experience in:
- Machine learning / regression modeling
- Data science or quantitative analysis
- Strong experience with:
- Python (pandas, numpy, scikit-learn)
- Large dataset manipulation and analysis
- Proven ability to:
- Work with business stakeholders (traders preferred)
- Deliver data-driven insights
- Experience in energy trading or commodities markets:
- Oil, Gas, LNG, Power, Low-carbon markets
- Understanding of:
- Supply & demand fundamentals
- Physical financial trading instruments
- Experience working in:
- Trading environments
- Market analytics / forecasting
- Strong problem-solving and analytical mindset
- Detail-oriented with high accuracy
- Independent thinker with creative approach to modeling
- Comfortable in fast-paced, trading-focused environments