Track macroeconomic indicators (GDP growth, interest rates, employment trends) and their effect on commercial property demand.

Research submarket fundamentals—vacancy rates, absorption, rental growth, cap rates—for office, retail, industrial, or multifamily assets.

Analyze competitive property positioning, tenant mix, and lease structures in comparable assets.

Build detailed pro forma cash flows for acquisitions, developments, recapitalizations, and refinancings.

Underwrite using income capitalization, DCF, and IRR modeling to assess projected returns.

Conduct sensitivity and scenario analysis for rent, occupancy, operating expenses, financing costs, and exit cap rates.

Review operating statements, rent rolls, historical expenses, and lease agreements to validate underwriting assumptions.

Coordinate with legal, engineering, environmental, and appraisal teams during due diligence.

Identify risks such as lease rollover exposure, tenant credit issues, or deferred maintenance.

Model various debt and equity structures, including senior loans, mezzanine financing, and joint ventures.

Track current lending spreads, LTV requirements, and investor return hurdles.

Evaluate the impact of financing terms on project feasibility and IRR.

Track monthly and quarterly operating results for owned assets against underwriting and budget.

Prepare variance analyses explaining performance drivers.

Support hold/sell/refinance recommendations using updated market and asset performance data.

Prepare detailed investment committee memos, investor pitch decks, and quarterly reporting packages.

Present findings in concise, data-driven formats for decision makers.

Use visualization tools (Excel dashboards, Tableau, Argus outputs) to communicate results.

Technical: Excel (advanced financial modeling), Argus Enterprise, CoStar, REIS, GIS mapping tools.

Analytical: Real estate finance, capital markets knowledge, and quantitative risk assessment.

Soft Skills: Clear communication, attention to detail, and ability to synthesize large amounts of data into actionable insights.