Data Modeller/Engineer II
NES Fircroft
Contract
Houston, TX
Job description
Job Title-Data Modeller/Engineer II
Location- Houston, TX
Schedule-(Hybrid 80/20)
Duration-6 months
Rate-$60/hour
Overview
The Trading Data Analytics discipline within the company Trading Analytics & Insights (TA&I) organization brings together Quantitative Analysts, Data Strategists, and Core Strategists (software engineers). United by a strong focus on data, numerical algorithms, and technology, the team delivers innovative models, tradable insights, and agile technology solutions that enhance commercial performance across Trading & Shipping.
This position sits within the Gas & Power Trading Americas – Fundamental Modeling and Innovation Team, offering a unique opportunity to partner closely with analysts and strategists across the North American region and multiple commodity lines. The role focuses on designing and building scalable, high‑impact analytical solutions to address business‑critical challenges in a fast‑paced, data‑rich trading environment.
Required Education
Location- Houston, TX
Schedule-(Hybrid 80/20)
Duration-6 months
Rate-$60/hour
Overview
The Trading Data Analytics discipline within the company Trading Analytics & Insights (TA&I) organization brings together Quantitative Analysts, Data Strategists, and Core Strategists (software engineers). United by a strong focus on data, numerical algorithms, and technology, the team delivers innovative models, tradable insights, and agile technology solutions that enhance commercial performance across Trading & Shipping.
This position sits within the Gas & Power Trading Americas – Fundamental Modeling and Innovation Team, offering a unique opportunity to partner closely with analysts and strategists across the North American region and multiple commodity lines. The role focuses on designing and building scalable, high‑impact analytical solutions to address business‑critical challenges in a fast‑paced, data‑rich trading environment.
Required Education
- Bachelor’s degree in a STEM field or other quantitative discipline.
- 3–5 years of hands-on experience building and deploying machine learning models and regressions.
- Strong proficiency in Python, with deep knowledge of core data science libraries (e.g., pandas, numpy, scikit‑learn).
- Proven experience working with large, complex datasets.
- Excellent attention to detail and problem‑solving capabilities.
- Demonstrated success collaborating with traders or business stakeholders to deliver commercially actionable models.
- Independent, innovative thinker with the ability to develop new analytical methodologies and identify alternative solutions to complex problems.
- Ability to thrive in a fast‑paced, dynamic trading environment.
- Strong desire for continuous learning and innovation.
- Knowledge of U.S. or North American energy markets, including low‑carbon, oil, gas, LNG, or power.
- Understanding of supply and demand fundamentals and how related physical and financial instruments are traded.