System Administrator

Our Oil and Gas client is looking for a Modeling Analyst with heavy Python skills for a new role.

This is a contract position for 6 months, may extend.

Hybrid role with Houston, TX offices.

The Trading Data Analytics discipline within the Trading Analytics & Insights (TA&I) organization in our client's Trading & Shipping comprises Quantitative Analysts, Data Strategists, and Core Strategists (software engineers). Linked by the common themes of data, numerical algorithms, and technology, the discipline seeks to add value to the business by delivering new models, tradable insights, and agile technology solutions that empower the analyst community and enhance commercial outcomes.

This role would be working alongside Gas and Power Trading Americas Fundamental Modelling and Innovation Team.

This role provides the opportunity to work closely with analysts and strategists across the North American region and commodity lines to design and build scalable solutions to business‑critical problems in a fast‑paced, data‑rich trading environment.

Required: STEM Degree.

• 3-5 years hands‑on experience working with machine learning models and regressions.
• Excellent Python skills with a robust understanding of core data science packages (e.g., pandas, numpy, sklearn, etc.).
• Experience manipulating and analyzing large, complex datasets.
• Strong attention to detail.
• Excellent problem‑solving skills.
• Track record of working with traders or other business stakeholders to create commercially actionable models.
• Independent, creative thinker that can find alternative solutions to complex problems.
• Desire to continually improve with a passion to innovate and the ability to develop new analytical methodologies.
• Ability and desire to work in a fast‑paced, dynamic trading environment.
• Knowledge of US or North American energy markets (e.g., low‑carbon, oil, gas, LNG, or power).
• Understanding of supply and demand drivers together with how physical and related financial instruments are traded.