Description
Manager — Power Market Analytics
Location:
Within our offices in central and eastern time zones
Alvarez & Marsal is a leading global professional services firm known for its operational excellence, deep industry expertise, and results-driven approach. Our Infrastructure and Capital Projects practice (“INFRA”) is at the forefront of advising and executing across power and critical energy infrastructure — sectors central to the practice North American and global growth. Our INFRA practice is comprised of over 650 sector experts and specialized consultants across the Globe. We combine strategic and operational expertise with a deep technical knowledge to support developers, sponsors and lenders to select, structure, improve and execute capital projects in a more efficient and sustainable way.
To support our expansion, we are seeking Senior Associates and Managers to join our fast-growing Power Market Analytics team. This role is ideal for experienced modelers and consultants looking to step into a dynamic, entrepreneurial environment where impact is immediate and career growth is a given.
The Opportunity:
This role offers a unique opportunity to be at the forefront of the dynamic energy and power sector supporting clients with data-driven insights that guide investment and strategic decisions across power generation, transmission, and emerging technologies. You’ll work alongside industry experts to build and power systems market, nodal, and capacity models—translating complex market dynamics into actionable intelligence for our clients.

Key Responsibilities:

• Utilize production simulation models and tools to conduct economic studies
• Ability to utilize models to run security-constrained economic dispatch modeling including post processing data
• Undertake load forecasting utilizing industry standard methods.
• Research and understand electric power rates (transmission, wholesale, retail) and regulatory in key markets within the US
• Ability to use python coding for automation is considered highly favorable
• Collaborate closely with other consultants and project managers to support client engagements including capital projects, due diligence, deal and transaction advisory.
• Assist in developing deliverables, including client presentations and internal reports.
• Take initiative to explore new tools, methodologies, and techniques to improve data workflows and analysis.
• Ensure accuracy, integrity, and confidentiality of all project-related data.

Qualifications:

• Relevant degree in economics, engineering, mathematics, statistics, computer science, business analytics, or a related field;
• Experience in consulting is required.
• 2–to-7 years of relevant experience.
• Experience supporting or participating in business development efforts (e.g., proposals, client targeting, account management).
• Strong analytical, communication, and project management skills.

The salary range is $130,000 - $160,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details

• Utilize production simulation models and tools to conduct economic studies
• Ability to utilize models to run security-constrained economic dispatch modeling including post processing data
• Undertake load forecasting utilizing industry standard methods.
• Research and understand electric power rates (transmission, wholesale, retail) and regulatory in key markets within the US
• Ability to use python coding for automation is considered highly favorable
• Collaborate closely with other consultants and project managers to support client engagements including capital projects, due diligence, deal and transaction advisory.
• Assist in developing deliverables, including client presentations and internal reports.
• Take initiative to explore new tools, methodologies, and techniques to improve data workflows and analysis.
• Ensure accuracy, integrity, and confidentiality of all project-related data