Capital Markets Financial Engineer – Advisor

Fannie Mae

. Provide guidance on processing, analyzing, and interpreting large and complex financial datasets using advanced financial engineering tools and programming techniques .

Posted 11/3/2026full-timeUnited StatesMid-LevelSenior💰 $141,000 - $184,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial analysis and engineering, with proficiency in Python, R, and SAS for building and interpreting complex financial models. Capable of translating analytical results into actionable insights for diverse stakeholders while continuously adapting to new technologies, including artificial intelligence.

Highest-signal resume keywords

Financial AnalysisFinancial EngineeringQuantitative AnalysisPython ProficiencyModel Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Financial ModelingScenario AnalysisSensitivity AnalysisStress TestingAttribution AnalysisData AnalysisRegression TestingModel Performance EvaluationAnalytical TechniquesForecasting

Soft Skills

CollaborationIntellectual CuriosityAdaptabilityCommunicationTeamwork

Tools & Technologies

Advanced Financial Engineering ToolsArtificial IntelligenceFinancial Analysis Software

Certifications & Qualifications

CFACPA

Industry Keywords

Capital MarketsMortgage FinanceHousing FinanceFinancial Institution

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Provide guidance on processing, analyzing, and interpreting large and complex financial datasets using advanced financial engineering tools and programming techniques
Partner with internal customers to understand intended use of financial analyses, forecasts, or models and tailor solutions
Apply scenario analysis, sensitivity analysis, stress testing, and attribution analysis to financial analysis and forecasting
Execute financial models and critically evaluate model outputs, assumptions, and limitations
Translate complex analytical and model-driven results into clear, actionable insights for technical and non-technical stakeholders
Advise model builders by vetting new models, recommending enhancements, and analyzing model performance and validation results
Analyze outputs from data and systems analysis, validation activities, and regression testing to support financial decision-making
Learn and responsibly apply new technologies, including artificial intelligence, to reimagine work

Requirements

What you’ll need

6 years of relevant professional experience in financial analysis, financial engineering, quantitative analysis, or a related discipline
Demonstrated experience building, reviewing, interpreting, and challenging financial or quantitative models
Intellectual curiosity and willingness to continuously learn new tools, techniques, and business concepts
Strong collaboration skills and comfort working in a fast-paced, team-oriented environment
Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence
Bachelor's degree or equivalent
Robust financial expertise, preferably gained through experience at a financial institution
Strong knowledge of capital markets
Exposure to the mortgage or housing finance industry is a plus
Proficiency in Python, R, and SAS
CFA and/or CPA designation is a plus
Master's degree in Finance, Accounting, Economics, Mathematics, Statistics, or a related field is a plus

Benefits

Comp & perks

Fannie Mae incentive program eligibility, subject to program terms
Comprehensive benefits package including Health, Life, Voluntary Lifestyle, and other benefits and perks
Reasonable accommodations for qualified individuals with disabilities
Hybrid/flexible work arrangement