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Fundamental Modeling Analyst (Trading Analytics - Energy Markets)

Houston, TX, US • Posted 4 days ago • Updated 14 minutes ago

Contract W2

On-site

USD0 - USD0

Strategic Staffing Solutions

Fitment

Dice Job Match Score™

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Job Details

Skills

Fundamental
Modeling
Analyst
Trading
Analytics
Ene

Summary

Fundamental Modeling Analyst (Trading Analytics Energy Markets)

Location: Houston (Hybrid ~80% onsite)
Duration: 4-Month Contract

Overview

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.

Key Responsibilities

Quantitative Modeling & Data Science

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

Trading & Business Collaboration

Partner directly with traders and business stakeholders
Translate business needs into analytical models and data solutions
Deliver commercially actionable insights

Data Analysis & Engineering

Work extensively with Python (pandas, numpy, sklearn)
Manipulate and process large datasets from multiple sources
Support development of data-driven trading strategies

Innovation & Problem Solving

Identify new modeling approaches and analytical techniques
Continuously improve models and methodologies
Contribute to a culture of innovation and experimentation

Required Qualifications

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

Preferred Qualifications

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

Key Traits

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: sssmi
Position Id: JOB-245635
Posted 4 days ago

Company Info

About Strategic Staffing Solutions

Strategic Staffing Solutions (S³) is a woman-owned, global IT consulting and business services corporation that delivers staff augmentation, managed services, total workforce management programs and direct hire recruiting with industry expertise in financial services, energy and utilities, oil, healthcare and insurance, telecommunications and retail distribution. S³’s Consultants are placed with Customers through the U.S., Europe and the Americas. Founded in Detroit, MI in 1990, S³ has reported consistent growth and profit every year and carries zero debt.

S3 Diversity Statistics
S3 has a 50/50 split among male/female employees; 60% of S3 employees identify as non-white; S3 s leadership team are 50% women; S3 currently employs 73% military veterans, military spouses and military affiliates.

Staffing Industry Analysts CCWP Charter Partner
S3 is the only charter partner for Staffing Industry Analysts Certified Contingent Workforce Professional (CCWP) program- a one-of-a-kind accreditation program designed for all professionals managing corporate contingent staffing.

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