Senior Financial Analyst / Financial Modeling – Federal Housing P3 Program
@ *US AMR-Jones Lang LaSalle Americas, Inc.Senior Financial Analyst / Financial Modeling – Federal Housing P3 Program
About the job
JLL is a global real estate services firm empowering clients with advisory, technology, and services. This role focuses on financial modeling for federal housing programs, supporting restructuring, recapitalization, and development of military housing portfolios with complex financial analysis.
Requirements
- Financial modeling experience
- Real estate or infrastructure background
- Excel model construction skills
- US citizenship
- Ability to obtain DoD clearance
Qualifications
- Bachelor's degree in finance or related
- 3+ years' relevant experience
- Attention to detail
- Ability to explain complex models
- Experience with public-private projects (preferred)
Full job description
JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Senior Financial Analyst - JLL
What this job involves: JLL is seeking a Senior Financial Analyst to join the financial modeling function of a federal advisory program supporting Department-wide privatized military housing portfolio. This is a hands-on, build-and-run modeling and program advisory role consisting of constructing, maintaining, and stress-testing financial models that underpin restructure, recapitalization, and new development analyses across a multibillion-dollar public-private partnership portfolio. You will work under the direction of the program’s senior transactions and federal financial management advisors, translating deal structures and analytical questions into rigorous, well-documented models that senior government decision-makers rely on before public funds are committed. The role suits a strong analyst who wants deep exposure to complex real estate capital structures and public-sector deal-making.
What your day-to-day will look like:
- Build and maintain project-level financial models for real estate restructure, recapitalization, and development transactions, including debt and equity waterfalls, coverage and reserve tests, refinancing analyses, and returns
- Construct sensitivity and scenario layers that test alternative capital structures, funding sources, and operating assumptions, and present results in a form senior decision-makers can act on
- Validate and reconcile third-party models and financial submissions, identify assumption gaps and errors, and document findings
- Maintain the program’s assumption library, standardized model templates, and version control so that analysis is consistent, traceable, and auditable across transactions
- Apply disciplined QA/QC to your own and others’ work: model integrity checks, source documentation, and clear change logs
- Provide analytical support to portfolio-level performance reporting and key performance indicator frameworks
- Prepare model outputs, charts, and supporting exhibits for decision memoranda, briefings, and client deliverables
- Work as part of a multidisciplinary team of transaction, credit, policy, and development specialists, and communicate model mechanics and results clearly to non-modelers
Required Qualifications:
- Bachelor’s degree in finance, real estate, economics, accounting, engineering, or a related quantitative field
- 3+ years of financial modeling experience in real estate, infrastructure, project finance, or a closely related field; exceptional candidates with fewer years considered
- Demonstrated ability to build complex, multi-tab Excel models from scratch, including debt and equity waterfalls, DSCR and reserve mechanics, refinancing and sensitivity analyses
- US citizenship
- Ability to obtain a DoD Secret clearance
- Strong understanding of real estate finance fundamentals: capital stacks, debt sizing and pricing, cash flow projections, and returns analysis
- Rigorous attention to detail and a habit of documenting assumptions, sources, and changes
- Ability to explain model logic and results clearly, in writing and in conversation, to senior audiences who are not modelers
Preferred Qualifications:
- Prior DoD clearance eligibility
- Experience with public-private partnerships, project finance, federal advisory work, or military housing / MHPI is a meaningful advantage but not required
- Expert-level Excel; experience with VBA, Python, or similar tools for model automation and data handling is a plus
Location: Based in Washington DC (hybrid with regular presence at JLL offices and client sites as program needs require)
About the Program: The Military Housing Privatization Initiative (MHPI) is one of the largest public-private partnership real estate programs in the United States: a portfolio of roughly $32 billion in privatized family and unaccompanied housing spanning 87 projects at approximately 150 military installations. The Office of the Deputy Assistant Secretary of War for Housing (ODASW(H)) oversees the program and has shifted from passive portfolio oversight to active investment management, with a live pipeline of project restructures, recapitalizations, and new unaccompanied housing development, each requiring a capital-structure optimization strategy before public funds are committed. JLL serves as the principal advisory team to ODASW(H), providing program management and advisory support across the full spectrum of MHPI oversight. The financial modeling function sits at the center of the program’s transactions advisory workflow: it establishes the baseline model for each transaction, builds the sensitivity and scenario layers used to test and rank alternatives, and maintains the assumption libraries and templates that keep analysis consistent across the portfolio.
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Expected compensation for this position:
85,000.00 – 110,000.00 USD per year
Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
On-site –Washington, DCJob Tags:
Public InstitutionsIf this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits include:
- 401(k) plan with matching company contributions
- Comprehensive Medical, Dental & Vision Care
- Paid parental leave at 100% of salary
- Paid Time Off and Company Holidays
- Early access to earned wages through Daily Pay
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
JLL Privacy Notice
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
For additional details please see our career site pages for each country.
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.
Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.
California Residents only
If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.
Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accepting applications on an ongoing basis until candidate identified.
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