M&A Analyst

Corporate Development Modeler and M&A Execution

The Corporate Development Modeler and M&A Executioner supports the company's strategic growth by developing sophisticated financial models to evaluate investments across the energy value chain and serve as lead executioner on M&A transaction. This role is central to analyzing opportunities such as mergers and acquisitions (M&A), divestitures, joint ventures, infrastructure and power investments, and large-scale capital projects such as LNG. The ideal candidate has a strong background in private equity, hedge fund, investment banking, consulting, or corporate finance—paired with a solid understanding of the energy industry's market drivers, regulatory landscape, and asset-heavy business models.

Job Duties & Responsibilities:

• Build and maintain complex financial models to evaluate potential energy-related transactions including upstream, midstream, downstream, LNG, power generation, and emerging energy technologies
• Develop valuation analyses using DCF, net asset value (NAV), commodity price sensitivities, precedent transactions, and comparable companies
• Conduct accretion/dilution modeling to measure the financial impact of strategic transactions on earnings and free cash flow
• Analyze synergies, operational efficiencies, and integration risks associated with energy sector transactions, including field development, pipeline capacity, and power market integration
• Support full M&A and divestiture lifecycle, including asset screening, commercial and technical due diligence, financial review, bid strategy, negotiation support, and post-deal integration modeling
• Partner with Engineering, Finance, Strategy, and Operations teams to validate assumptions related to production forecasts, capital expenditures, reserves, power generation profiles, commodity price curves, and regulatory factors
• Prepare investment decks, valuation summaries, and executive presentations for senior leadership and the Board
• Perform market and competitive analysis focusing on energy market trends, regulatory changes, energy transition impacts, and long-term supply/demand dynamics
• Support annual strategic planning, corporate portfolio optimization, and capital allocation decisions—balancing legacy assets with emerging clean-energy investments

Job Specific Skills:

• Advanced proficiency in financial modeling and Excel, including building models from scratch for asset-heavy and commodity-driven businesses
• Strong understanding of energy market fundamentals, such as commodity pricing, cost curves, regulatory frameworks, production/operational metrics, and energy transition trends
• Experience evaluating energy-related M&A, divestitures, and joint ventures
• Exceptional analytical, problem-solving, and quantitative skills with the ability to interpret large, complex datasets
• Strong communication skills with experience preparing executive-ready presentations and investment recommendations
• Ability to work cross-functionally and manage multiple projects in a fast-paced, dynamic environment

Education:

• Minimum: High school diploma or GED
• Preferred: Bachelor's degree in Finance, Economics, Engineering, Business, or related field
• Preferred: MBA, CFA, or energy-specific certifications

Experience:

• Minimum: 2 - 5 years related work experience in corporate development, investment banking, private equity, consulting, or financial analysis—preferably within the energy sector
• Preferred: Hands-on experience with Python for data analysis, automation, or modeling

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law. Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.