Quantitative Commercial Analyst (Energy) - Gables Search Group

The Quantitative Commercial Analyst is primarily responsible for quantitative analysis to price and access the risk of structured energy transactions, physical assets, and potential strategic transactions. Identifies sources of value/risk and through financial modeling determines expected value and portfolio level risk implications. Communicates extensively with all levels of management regarding each component of opportunities to stakeholders. Identifies/improves upon any model shortcomings or simplifying assumptions and communicates limitations of analysis. Supports the continued development of modeling infrastructure and knowledge base of the overall Structuring team.

NO VISA SPONSORSHIP available for this position - must be legally authorized to work in the US for any employer without visa sponsorship now or in the future.The position is ONSITE in Houston TX 3-4 days each week. 

     KEY RESPONSIBILITIES

·        Transaction pricing, model development/improvement, and performing targeted market analysis.

·        Pricing of structured energy products: Options/Swaps, Plant Tolls, PPAs, Physical Assets, Strategic Transactions.

·        Presents valuation results to the executive management team.

·        Conducts targeted market analysis of key price drivers, supply/demand forecasts, and regulatory updates to assess their potential impact on risk and value, enabling informed decision-making for structured transactions and existing assets.

REQUIREMENTS

·        Bachelor’s degree in a quantitative field, advanced degree is a plus.

·        3+ years of energy industry experience, preferably in a commercial or quantitative capacity.

·        Familiarity with one or more of the following: VBA, R, Python.

·        Knowledge of U.S. wholesale natural gas and electric market fundamentals, including supply and demand, environmental legislation, and regional market structures.

·        Demonstrated understanding of asset valuation methods (dispatch models, options, swaps, tolls, and PPAs).

·        Valuation of commodity and derivative transactions as well as the impacts of various regulatory policies.