System Administrator

Motion Recruitment; Houston (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

Motion Recruitment is seeking a Modeling Analyst in Houston, Texas. This hybrid contract role requires a STEM degree and 3-5 years of hands-on experience with machine learning and Python. The ideal candidate will design scalable solutions for complex trading problems, working closely with traders and analysts across North America. Strong analytical skills, detail orientation, and knowledge of energy markets are essential. This position offers the chance to innovate in a fast-paced trading environment.

Qualifications

• 3-5 years hands-on experience working with machine learning models and regressions.
• Experience manipulating and analyzing large, complex datasets.
• Independent, creative thinker that can find alternative solutions to complex problems.

Responsibilities

• Design and build scalable solutions for business-critical problems.
• Work alongside analysts and strategists across the North American region.
• Enhance commercial outcomes by delivering new models and insights.

Skills

Python skills

Machine learning models

Data analysis

Attention to detail

Problem-solving

Knowledge of energy markets

Education

STEM Degree

Tools

pandas

numpy

sklearn

Job description

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.

Job Description

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.