Fundamental Modeling Analyst (Data Modeller / Engineer II)
BH-331801
Posted: 01/04/2026
- $63/hour
- United States Wisconsin Milwaukee
- Contract
-
Oil & Gas
Job Title-Fundamental Modeling Analyst
Location- Houston Texas
Schedule-Hybrid 80/20
Rate-$63/hour
Duration-6 months
Overview
The Trading Data Analytics discipline within the Trading Analytics & Insights (TA&I) organization in the company’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 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 Education
• Bachelor’s degree in a STEM field or other quantitative discipline.
Essential Experience:
• Undergraduate degree in STEM subject or quantitative discipline.
• 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.
Desirable Experience & Skills:
• 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.
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Location- Houston Texas
Schedule-Hybrid 80/20
Rate-$63/hour
Duration-6 months
Overview
The Trading Data Analytics discipline within the Trading Analytics & Insights (TA&I) organization in the company’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 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 Education
• Bachelor’s degree in a STEM field or other quantitative discipline.
Essential Experience:
• Undergraduate degree in STEM subject or quantitative discipline.
• 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.
Desirable Experience & Skills:
• 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.
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.