Senior Analyst, Pricing and Risk Modeling - Energy; Hybrid - Andover, MA

Senior Analyst, Pricing and Risk Modeling

We are looking for a Senior Analyst, Pricing and Risk Modeling to join our Energy and Commodity Management team. This role requires a risk analytics and pricing professional with strong experience in energy markets, quantitative modeling, and market risk estimation, including valuation of structured and derivative products.

• Price financial instruments, including vanilla and structured derivatives across energy commodities (Power, Gas), using analytical methods and Monte Carlo simulations.
• Design and enhance methodologies and models for market risk estimation (e.g., VaR, stress testing, PaR, GMaR).
• Support Energy & Commodity Management activities through quantitative analysis, risk assessment, and valuation of complex deal structures.
• Develop and maintain scalable modeling tools and perform ad‑hoc analytical requests.
• Collaborate with global pricing teams to develop and maintain pricing libraries and modeling frameworks.
• Contribute to the design and valuation of new pricing structures and products.
• Provide input on embedded risks within structured transactions and support hedging strategy development.

• Degree in a quantitative field (Computer Science, Mathematics, Physics, Engineering, Financial Engineering).
• 4+ years of experience in commodities risk management, quantitative modeling, or derivatives pricing.
• Advanced knowledge of statistics, probability, and regression techniques.
• Strong programming skills in Python and/or R; solid SQL skills for data extraction and transformation.
• Strong understanding of U.S. power and gas markets, including basis and congestion dynamics.
• Experience with energy contracts (e.g., PPAs, structured products, futures, options).
• Strong understanding of financial derivatives and valuation methodologies.
• Proven ability to independently design and implement models and analytical tools.
• Strong problem‑solving skills and ability to work in a fast‑paced, cross‑functional environment.
• Self‑starter mindset with demonstrated experience delivering end‑to‑end analytical solutions.
• Experience with large‑scale data analysis and model performance optimization is a plus.
• Familiarity with machine learning and AI methods for predictive modeling, scenario generation, and advanced analytics in energy markets.

• Pay range: $118,938 – $178,407 annually, based on experience and qualifications.
• Health care, life insurance, disability benefits, and retirement plans.
• Flexible spending accounts, tuition reimbursement, professional development allowance.
• 401(k) with match fully vested as of day one.
• Paid time off: 4 weeks annual vacation, personal days, volunteer days, birthday off, holidays, sick time.

Enel North America is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, gender, national origin, citizenship, age, disability, sexual orientation, genetic information, or veteran status. We maintain a drug‑free workplace and conduct pre‑employment substance abuse testing and background checks where permitted by law.