Cmbc Investment Analyst

Overview

• Contribute to a global investment firm's asset management team, focusing on commercial real estate credit strategies and portfolio performance.
• Analyze financial performance of properties and portfolios, including bridge loans, CMBS loans, and other real estate credit investments.
• Develop financial models and perform discounted cash flow, IRR, and NPV analyses using Excel and Argus.
• Support loan administration activities, including construction draws, leasing costs, and reserve releases.
• Collaborate with internal teams across origination, legal, finance, securitization, and underwriting functions.
• Prepare investor reporting materials and presentations on a monthly, quarterly, and annual basis.
• Coordinate with loan servicers and borrowers to ensure portfolio oversight and operational execution.
• Gain exposure to the commercial real estate credit lifecycle and expand responsibilities as you develop within the role.

Key Responsibilities & Duties

• Monitor and analyze financial performance of individual properties and portfolios.
• Assist in reviewing property budgets, business plans, and quarterly forecasts.
• Develop familiarity with leases, loan documentation, and legal agreements.
• Build and maintain financial models for investment analysis and decision-making.
• Support preparation of investor reporting materials and presentations.
• Administer loan proceeds and manage construction draws, leasing costs, and reserves.
• Aggregate and validate portfolio data for internal reporting and credit committee decisions.
• Coordinate with loan servicers and borrowers to ensure operational execution.

Job Requirements

• Bachelor’s degree in business, finance, economics, real estate, or a related field.
• 2+ years of professional experience in commercial real estate or related fields.
• Understanding of real estate fundamentals, commercial leases, and debt capital structures.
• Experience with loan servicing or construction loan administration is preferred.
• Proficiency in financial modeling using Microsoft Excel and Argus.
• Strong quantitative and analytical skills with attention to detail.
• Excellent written and verbal communication skills.
• Ability to work effectively in a fast-paced, deadline-driven environment.