Fannie Mae
MF Risk - Risk Analysis - Lead Associate
Washington, DC
Sponsorship not specified$123k-$161kDetected 23 days ago
PythonSQLData AnalysisData VisualizationProject ManagementAccountingM&ACadenceResearchLeadershipCommunicationProblem SolvingPublic SpeakingAdaptabilityUnderwriting
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 due diligence for new counterparties, including lender onboarding, M&A transactions, and de novo approvals.
- Develop clear, risk-based recommendations for senior leadership on counterparty risk profiles and mitigation strategies.
- Manage project plans, timelines, deliverables, dependencies, and issue resolution across concurrent workstreams.
- Support Enterprise Risk Management initiatives by ensuring activities align with regulatory expectations and Fannie Mae governance standards.
- Support strategic initiatives that modernize risk analytics, reporting, documentation, and technology-enabled risk management capabilities.
- Detail-oriented self-starter who collaborates effectively across functions to drive coordinated risk oversight and lender onboarding.
- Experience leading operational or compliance reviews and developing well-supported risk recommendations.
Requirements
- Bachelor's Level Degree (Required)
- Minimum Required Experience
- Bachelor's degree in Finance, Business Administration, Accounting, Risk Management, Economics, or related field (or equivalent experience).
- 4+ years of experience in operational risk, compliance, enterprise risk management, audit, or financial services.
Nice to have
- Knowledge of multifamily lending, commercial real estate finance, or mortgage servicing preferred.
Skills
- Conduct operational and compliance risk assessments of DUS® lenders and servicers.
- Evaluate governance, cybersecurity, technology and data controls, fraud risk management, and third-party risk programs.
- Assess adherence to the DUS Guide, program requirements, and regulatory expectations.
- Assess operational processes, governance, and controls; recommend mitigation strategies and track remediation through resolution.
- Assist with enterprise and counterparty risk reviews, documenting conclusions that are clear, consistent, and well supported.
Compensation
- Requisition compensation:
Company info
- Experience managing complex, cross-functional initiatives with competing priorities and governance requirements.
- Demonstrated ability to synthesize complex information and communicate insights to senior leadership.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
- Strong operational and compliance risk analysis experience (e.g., governance, cybersecurity, technology/data, fraud, and third-party risk).
- Proven project management skills, including coordinating cross-functional initiatives, managing timelines, and resolving roadblocks.
- Strong business acumen with the ability to synthesize complex information into clear, actionable insights.
- Excellent written and verbal communication skills; able to present complex ideas clearly and develop executive-ready materials, incorporating input from multiple stakeholders into cohesive recommendations.
- Experience collaborating effectively across Technology, Risk, Compliance, Legal, Operations, and other business partners.
- Proficiency with data analytics and visualization tools (e.g., Power BI, Tableau, SQL, Python, Alteryx).
- Experience leveraging AI-enabled tools and emerging technologies to enhance research, reporting, and analytical workflows.
Equal opportunity
- If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/
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This listing is sourced directly from Fannie Mae's careers page and normalized into a canonical job model.