Contract
Posted on 19 March 26 by Bob Cromer
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Location: Houston (Hybrid – ~80% onsite)
Duration: 4-Month Contract
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.
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