Senior Associate, Fixed Assets / Cost Segregation (AMCS)

Responsibilities

• Cook up and perform cost segregation and fixed asset analyses for construction projects, real estate acquisitions, and renewable energy and sustainability initiatives
• Peel apart construction cost data, general ledger detail, architectural/engineering drawings, and capitalization support to figure out asset classification and spot costs eligible for tax treatment
• Go on site visits and fieldwork to inspect building components (like electrical, mechanical, plumbing systems) and verify cost assumptions
• Collaborate with clients, contractors, and internal teams to gather technical documentation and make sure everything is complete and accurate
• Put together detailed engineering-based reports, depreciation analyses, reconciliations, and supporting documents for client deliverables, including participating in tax fixed asset outsourcing engagements (Federal, State, E&P)
• Spot opportunities related to sales tax exemptions (like utility reviews) and pitch in to improve processes and drive data-driven workflow improvements, including using automation tools and standardized methodologies
• Act like a good sport, be professional, and take personal responsibility to keep KPMG's workplace respectful and courteous

Qualifications

• A minimum of two years of recent experience in an engineering firm, corporation, or public accounting firm; a background in cost segregation, fixed asset consulting, construction, engineering, or a related technical field is preferred
• A bachelor's degree from an accredited college/university in engineering, architecture, construction management, or a closely related discipline is required
• A great understanding of construction processes and building systems, and how project costs translate into asset classifications
• Knowledge of federal income tax depreciation principles and accounting for capital expenditures, preferred
• Experience reviewing technical drawings, construction documentation, and large project cost datasets
• A strong proficiency in Excel (such as advanced formulas, pivot tables, lookups) and experience working with structured data from financial or operational systems; demonstrated experience or strong aptitude with data wrangling/automation tools (such as Power Query, Alteryx), business intelligence tools (such as Power BI, Tableau), or query/scripting languages (such as SQL, Python, R)

Pay

Details about pay are not specified in the job posting.

Schedule

Details about the schedule are not specified in the job posting.

Benefits

Details about benefits are not specified in the job posting.