Senior Financial Analyst - MHPI Real Estate Modeling (DC)

Jones Lang LaSalle Incorporated

Washington (District of Columbia)

Hybrid

USD 85,000 - 110,000

Full time

14 days+

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Job summary

Jones Lang LaSalle Incorporated is seeking a Senior Financial Analyst to join the federal MHPI advisory program in Washington, DC. You will build and stress-test complex financial models supporting privatized military housing transactions and provide analytical input for decision-makers.

The role requires a Bachelor’s in a quantitative field, 3+ years of financial modeling, advanced Excel (DSCR, waterfalls), and DoD clearance eligibility.

Qualifications

  • Bachelor’s degree required in a quantitative field.
  • 3+ years of financial modeling experience in real estate or related sectors.
  • Ability to build multi-tab Excel models with cash flow, DSCR, and waterfalls.
  • US citizenship and ability to obtain DoD Secret clearance.

Responsibilities

  • Build and maintain project-level financial models for real estate restructure, recapitalization, and development transactions.
  • Create sensitivity and scenario analyses to test capital structures and funding sources.
  • Validate third-party models and document findings with clear change logs.
  • Support portfolio-level performance reporting and KPI frameworks.
  • Prepare model outputs and exhibits for memoranda and client deliverables.
  • Collaborate with a multidisciplinary team and communicate model mechanics clearly.

Skills

Financial modeling
Advanced Excel
US citizenship
DoD clearance eligibility
Analytical communication

Education

Bachelor's degree in finance, real estate, economics, accounting, engineering, or related quantitative field

Tools

VBA
Python
Python

Job description

Jones Lang LaSalle Incorporated is seeking a Senior Financial Analyst to join the federal MHPI advisory program in Washington, DC. You will build and stress-test complex financial models supporting privatized military housing transactions and provide analytical input for decision-makers.

The role requires a Bachelor’s in a quantitative field, 3+ years of financial modeling, advanced Excel (DSCR, waterfalls), and DoD clearance eligibility.

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