Fannie Mae

Fannie Mae

Multifamily Affordable Housing Underwriter - Advisor

Washington, DC

Sponsorship not specified$141k-$184kDetected 42 days ago
Financial AnalysisExcelValuationProcess ImprovementCadenceCommunicationProblem SolvingAdaptabilityUnderwriting

About the role

  • Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance.
  • Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country.
  • Join Fannie Mae to grow your career and help people find a place to call home.

Responsibilities

  • Perform forensic underwriting reviews and identify potential red flags to prevent the enterprise from acquiring loans with potential fraud, deficient property values or increased borrower exposure risk.
  • Ability to manage multiple tasks and deadlines
  • Governance and Compliance experience including creating policies, evaluating compliance, developing data governance, preferred

Requirements

  • Bachelor's Level Degree (Required)
  • Minimum Required Experience
  • 6 years of relevant Multifamily underwriting experience with particular emphasis on Multifamily Affordable housing
  • Bachelor's degree or equivalent
  • Proficiency in financial analysis and modeling

Compensation

  • Requisition compensation:

Benefits

  • Curiosity and adaptability learning and responsibly applying new techniques, including artificial intelligence, to reimagine how we work
  • Loan Structuring - understand complex financing and multiple layers of debt and equity

Company info

  • Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company.

Equal opportunity

  • If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/

This listing is sourced directly from Fannie Mae's careers page and normalized into a canonical job model.