An energy investment subsidiary of a power generation and transmission company is seeking an experienced Energy Analyst to support its financial North American natural gas trading desk. This position develops sophisticated fundamental supply-demand models from scratch to drive trading strategies and actively engages in commercial trading decisions. Responsibilities include: Fundamental Modeling: Build, develop, and enhance comprehensive quantitative models (1-18 months) in Python that forecast f... more details
An energy investment subsidiary of a power generation and transmission company is seeking an experienced Energy Analyst to support its financial North American natural gas trading desk. This position develops sophisticated fundamental supply-demand models from scratch to drive trading strategies and actively engages in commercial trading decisions.
Responsibilities include:
Fundamental Modeling: Build, develop, and enhance comprehensive quantitative models (1-18 months) in Python that forecast fundamental supply and demand components of the North American and global natural gas markets and consider historical data, weather patterns, regulatory developments, etc.
Market Research: Stay up to date with industry developments, emerging trends, and new technologies in the natural gas sector to support model validity and efficacy.
Data Management: Collect, manage, and analyze large datasets related to natural gas markets. Utilize advanced statistical and analytical tools to interpret data and generate actionable insights.
Collaboration: Work with key stakeholders including the power fundamentals team that utilizes the natural gas models.
Educational and professional requirements include:
Bachelor’s degree in Economics, Engineering, Finance, Mathematics, or a related field. Advanced degree (MBA, Master’s) is preferred.
Minimum of 1 year of experience in fundamental and/or quantitative modeling of energy markets. Backgrounds in natural gas, LNG, NGL, power, renewable power, crude oil, refined products, upstream oil/natural gas or aggs will be considered with a preference for natural gas.
Strong fundamental and/or quantitative modeling, data analysis, and technology skills are required. An ability to build sophisticated statistical Python models from scratch is required.
Strong understanding of global energy markets, natural gas supply chains, and regulatory environments.
Excellent analytical, problem-solving, and critical thinking skills.
Effective communication skills, with the ability to present complex information clearly and persuasively.
Ability to work independently and collaboratively in a fast-paced, dynamic environment.
Employees work 5 days a week in the office. Exact compensation may vary based on skills, experience, and location. The salary for this role is anticipated to range from $100K - $150K. This range is applicable to New York City only and may be modified in the future.
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.