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Fannie Mae

Buys home loans from lenders and guarantees them

Senior Director - Mortgage Forecasting & Analytics

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeWashington, DC, USAHybrid

About the Job

Requirements

  • At least 8 years of experience in mortgage finance, fixed income or mortgage analytics, capital markets Finance, portfolio analysis, risk management, valuation, financial planning and analysis, trading support, or a related field.
  • Strong knowledge of agency mortgage-backed securities, including TBAs, specified pools, passthrough securities, collateralized mortgage obligations, embedded prepayment optionality, and structured mortgage products.
  • Experience developing financial forecasts, scenario analyses, cash flow projections, performance attribution, and sensitivity analyses for mortgage or other complex fixed income portfolios.
  • Working knowledge of mortgage cash flow modeling, duration, convexity, spread and basis risk, option-adjusted analysis, financing economics, and hedge performance.
  • Experience leading or supervising analytical professionals and working effectively with trading, portfolio management, risk, modeling, accounting, liquidity, and senior Finance stakeholders.
  • Ability to evaluate and challenge assumptions, synthesize complex or conflicting analyses, exercise sound judgment, and communicate conclusions clearly to technical and senior management audiences.
  • A bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or a related field is required.
  • Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence.

Responsibilities

  • Lead the preparation and ongoing enhancement of forecasts for the expected financial and economic performance of mortgage trading and portfolio strategies.
  • Forecast income, returns, cash flows, market value changes, financing costs, credit performance, and other relevant performance measures for existing mortgage positions and strategies.
  • Analyze how expected performance changes under different interest rate, yield curve, spread, volatility, housing, liquidity, prepayment, delinquency, default, and loss severity assumptions.
  • Evaluate the expected behavior of agency mortgage-backed securities, TBAs, specified pools, structured mortgage securities, credit risk transfer instruments, and whole mortgage loans.
  • Produce base case and alternative scenario views that highlight key assumptions, sensitivities, risks, and potential ranges of outcomes.
  • Perform forecast-to-actual and period-over-period analyses and identify the primary reasons actual performance differed from expectations.
  • Develop Finance’s perspective on the assumptions used to forecast and evaluate mortgage strategies.
  • Review and challenge assumptions used by the trading desk and other business partners, including prepayment speeds, refinancing behavior, turnover, buyouts, defaults, recoveries, loss severity, spreads, volatility, financing costs, and hedge performance.
  • Compare outputs and assumptions across Finance, trading, risk, valuation, accounting, and modeling teams and identify the primary drivers of differences.
  • Facilitate discussions with the trading desk and other stakeholders to evaluate alternative assumptions and determine the most appropriate inputs for Finance forecasting.
  • Document key assumptions, judgments, uncertainties, and changes in outlook for management reporting and forecast governance.
  • Evaluate the expected financial contribution and portfolio implications of proposed trades, investments, structures, and strategy changes.
  • Assess the expected return, earnings profile, cash flow characteristics, funding requirements, market sensitivity, credit exposure, and downside risk of proposed strategies.
  • Evaluate how new strategies may complement or detract from the existing mortgage portfolio, including effects on diversification, concentration, optionality, convexity, basis risk, liquidity, and tail exposure.
  • Analyze complex transactions at the collateral, security, tranche, strategy, and portfolio levels.
  • Prepare clear Finance assessments comparing proposed strategies with existing positions and alternative uses of balance sheet, liquidity, or risk capacity.
  • Partner with P&L teams across Finance and Capital Markets to evaluate and explain mortgage performance and its key economic drivers.
  • Assist in measuring mortgage strategy performance using relevant economic and financial metrics, such as income, total return, carry, spread performance, realized and unrealized gains or losses, financing costs, and risk-adjusted return, while challenging the underlying analysis and assumptions.
  • Partner with Capital Markets CFO organization and Capital Markets desk P&L teams to distinguish economic performance drivers from accounting classification, timing, and presentation effects and ensure appropriate Finance and business interpretations of results.
  • Build and manage the team, processes, tools, data, and controls required to support mortgage forecasting and strategy analysis.
  • Lead, develop, and prioritize the work of a team of mortgage analytics and Finance professionals.
  • Establish repeatable forecasting, scenario analysis, performance measurement, review, documentation, and reporting processes.
  • Partner with data, technology, modeling, risk, and Finance teams to improve analytical tools, data quality, automation, controls, and reporting efficiency.
  • Coordinate with corporate liquidity forecasting, hedge accounting, and Capital Markets P&L teams to ensure mortgage assumptions and analyses are appropriately reflected across related Finance processes.

Desired Qualifications

  • Understanding of performing and non-performing residential mortgage loans, including prepayments, delinquencies, defaults, modifications, cures, liquidations, recoveries, and loss severity.
  • Experience with mortgage analytics platforms, large datasets, SQL, Python, or other quantitative analytical tools.
  • CFA designation, FRM certification, or an advanced degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
  • Experience with credit risk transfer securities, non-agency residential mortgage-backed securities, mortgage derivatives, or other structured credit products.

About the Company

Fannie Mae

Buys home loans from lenders and guarantees them

Fannie Mae buys single-family and multifamily mortgages from banks, credit unions and other lenders across the United States, giving those lenders cash to make more home loans. It does not lend to homebuyers directly; instead it pools most of the loans it buys into mortgage-backed securities and guarantees investors timely payment of principal and interest. Lenders deliver loans that meet its underwriting standards, often checked through its Desktop Underwriter system. The company earns guaranty fees on the securities it backs and interest income on loans held in its portfolio. Congress chartered it in 1938, it has operated under federal conservatorship since 2008, and it is headquartered in Washington, D.C.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Washington, DC
Founded
1938

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