Full-Time

Forecasting and Analytics

Advisor, Flexible Hybrid

Posted on 11/6/2024

Fannie Mae

Fannie Mae

10,001+ employees

Facilitates affordable housing through mortgage financing

Social Impact
Financial Services

Senior, Expert

Washington, DC, USA

Flexible hybrid work model.

Category
Financial Planning and Analysis (FP&A)
Finance & Banking
Required Skills
Python
Data Science
R
SQL
Tableau
Business Analytics
Requirements
  • 6 years of experience in financial forecasting, challenge preferred
  • Bachelor degree or equivalent
  • Experienced with R and SQL
  • Experienced with Rshiny and Tableau
  • Comfortable working in Data Science and Domino
  • Familiar with different data visualization techniques
  • Experience with Python is a plus
  • Proficient in communication (verbal, written, etc.)
  • Comfortable presenting to different stakeholders
  • Art of story telling
Responsibilities
  • Recommend best strategy for performing budgeting, forecasting, variance analysis, and financial reporting and forecast challenge.
  • Analyze financial input data from different departments.
  • Analyze models output and other data to strengthen the forecast challenge
  • Develop financial data integrity checks and algorithms to summarize and convert financial data.
  • Perform financial data analysis in preparing Profit Loss (PL) Statements or other financial statements.
  • Perform stress testing challenge using modeled outputs, data sourcing, reporting and analytics, supporting the business on any adhoc analyses, budgeting, board reporting.
  • Source and analyze data for business analytics, including scenario and attribution analysis, what-if analysis, time series trending, drill down analysis, break-even analysis and identification of business drivers.

Fannie Mae operates in the U.S. housing finance system by purchasing mortgages from lenders, which helps provide them with the cash flow needed to offer more loans to consumers. The company buys mortgages from banks and financial institutions, holding some in its portfolio while packaging others into mortgage-backed securities (MBS) that are sold to investors. This process spreads risk and ensures a steady flow of capital back into the housing market, promoting homeownership and rental opportunities. Fannie Mae generates revenue through fees for guaranteeing MBS payments and from interest on its mortgage portfolio. The company aims to facilitate access to affordable housing and is recognized for its commitment to diversity, inclusion, and community service.

Company Stage

IPO

Total Funding

N/A

Headquarters

Washington, District of Columbia

Founded

1938

Simplify Jobs

Simplify's Take

What believers are saying

  • CAS issuance in 2025 expected to reach $4 billion, enhancing risk management.
  • Desktop Underwriter 12.0 launch may streamline mortgage approvals, boosting loan origination.
  • Scott Stowell's board appointment strengthens strategic insights into the homebuilding sector.

What critics are saying

  • Potential interest rate hikes in 2025 could raise mortgage rates, affecting affordability.
  • Labor shortages in construction may worsen housing affordability, challenging Fannie Mae's mission.
  • CAS reliance exposes Fannie Mae to market volatility, impacting credit risk transfer strategy.

What makes Fannie Mae unique

  • Fannie Mae's CRT strategies like CAS and CIRT diversify risk and attract investors.
  • Desktop Underwriter 12.0 enhances mortgage approval efficiency with a focus on credit risks.
  • MPF Program expands Native American lending, promoting equitable homeownership access.

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