Job Description

Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

More information is available at Connect with NRG on Facebook, Instagram, LinkedIn and X.

This position is a member of the Gas Market Analytics team which is responsible for market analysis, developing fundamental market models, short and long term balance and price forecasting using statistical and qualitative methodologies in support of gas and power trading activities. Coverage includes all North American natural gas market fundamentals with a focus on the Northeast US markets.

The primary responsibility of this role is providing analysis and research related to Northeastern gas markets but also includes coverage of other fuels, power, and global gas markets that impact the domestic natural gas fundamentals. These activities include both short and long term analytics, research, developing market views, and actionable trade strategies in support of Market Operations and Gas Trading activities as well as Corporate strategies. This role will focus on automation of reporting, predictive modelling and applied machine learning to support analysis.

Essential Duties/Responsibilities:

• Track fundamental drivers for the North American natural gas markets and develop methods of communicating this information to senior leadership and other internal clients.
• Create and maintain a proprietary view for the gas markets to provide internal clients with decision making information.
• Manage and advance data scraping and database capabilities with a focus on driving efficiency through automation of the reporting suite.
• Process market intelligence and fundamentals to support and recommend front office trade and hedging strategies (short term - 3 years).
• Develop market analysis reports and tools to aid this short term strategic decision making and tactical trading opportunities.
  Develop and operate simulation models to create short term and long term balance and price forecasting for pipelines, storage facilities, and regional markets.
• Disseminate daily market briefs and reports to the Commercial, Operations, Sales, and Origination teams.
• Work with senior management to produce presentations for board meetings, earnings calls, investor day presentations, or other events as required.
• Perform other duties as assigned. 

Working Conditions:

Open office environment.
Some overtime required as special projects arise.
Travel – minimal.
Hybrid in-office and work from home.

Minimum Requirements:

• Bachelor Degree in Finance, Economics, Statistics, Computer Science, Data Science, Information Systems, Operations Research   or related discipline (MBA/Masters preferred).
• Strong analytical, mathematical, process modeling, presentation and report preparation skills and experience.
• Proficiency with Excel, Python, Sql, scikit-learn, PySpark, Databricks, and Power BI
• Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference)
• Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP).
• Ability to take models from concept to production in collaboration with engineering partners.
• Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing).
• Excellent communication and storytelling skills for complex, data-driven topics.

Preferred Qualifications:

• Two to five years fundamental analysis experience in natural gas marketing.
• Northeast US natural gas experience preferred. Broad knowledge of the natural gas markets; power markets experience/knowledge is preferred.

Additional Knowledge, Skills and Abilities:

• Effective oral and written communication skills, positive attitude and highly motivated.
• A self-starter, adaptive and versatile, able to work effectively in an active trading environment. Strategic, efficient, and entrepreneurial candidates will excel in this role. Able to prioritize tasks based on potential commercial impacts, able to meet aggressive deadlines.
• Position may be filled at various levels depending on candidate qualifications such as experience and technical skills. 

The base salary range for this position is: $92,560 - $152,760. The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at

Official description on file with Talent.

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