Fannie Mae

Data Scientist

• Partner across Audit, Technology, and platform teams to build a unified Audit platform with reusable data, analytics, automation, GenAI services, model operations, secure delivery, and enterprise controls.
• Develop advanced analytics, AI, and data science solutions to solve complex business and technical challenges and shape technical direction.
• Design, test, and validate audit solutions using advanced data science methods aligned with audit standards and methodology.
• Apply data science to improve risk measurement, valuation, decision-making, and business performance.
• Create technical strategies and executive-ready materials that communicate high-impact solutions to leaders and stakeholders.
• Provide thought leadership on applying advanced analytics and data science to business challenges.
• Build solutions for continuous monitoring, risk detection, automated evidence generation, and deeper insights.
• Assess model effectiveness and fitness for use, ensure testing and monitoring, and explain key drivers and limitations.
• Lead cross-functional teams through the model lifecycle, aligning changes with business goals.
• Stay current on industry practices, regulations, and internal standards to ensure compliance and escalate issues as needed.
• Advise senior leaders on priorities, balancing accuracy, speed, cost, and governance.
• Support the Model Owner and Lead Model User in building consensus, prioritizing requirements, testing changes, resolving findings, and sharing best practices.
• Drive continuous improvement in modeling and analytics while promoting accountability, transparency, and proactive model risk management.
• Represent the Analytics team in internal forums, regulatory settings, and industry conferences, sharing best practices and thought leadership.

Data Science Advisor

Underwriter

• Lead and contribute to complex multifamily mortgage fraud investigations by applying multifamily underwriting expertise, forensic underwriting analysis, and knowledge of multifamily mortgage fraud schemes.
• Assess allegations involving the origination, processing, underwriting, sale, servicing, and disposition of multifamily loans or REO properties.
• Conduct targeted research; prepare well-supported investigative reports and files; and present findings to key stakeholders and senior management.
• Perform forensic underwriting reviews of complex multifamily loan files to identify potential fraud, misrepresentation, data integrity concerns, and other issues relevant to mortgage fraud determinations.
• Plan, conduct, and document inquiries into allegations of multifamily mortgage fraud.
• Analyze borrower and sponsor information, property performance, valuation support, rent rolls, operating statements, third-party reports and inspections to assess fraud indicators and materiality.
• Prepare clear, accurate, and well-supported investigative reports, case summaries, statistical data, and files in accordance with established policies, procedures, and regulatory expectations.
• Present investigative findings, conclusions, and recommendations to stakeholders and senior management.
• Serve as a subject matter expert for internal stakeholders on multifamily fraud investigations.
• Lead collaboration, knowledge-sharing, and training efforts across Financial Crimes, Multifamily, and enterprise partners.

Lead Associate, Multifamily Underwriting Fraud Investigation

Security Engineer

• Develop and execute the enterprise cybersecurity risk management strategy, including supporting policies, processes, and initiatives aligned to firm standards, regulatory requirements, and industry best practices.
• Lead enterprise cyber risk identification, assessment, prioritization, and mitigation, including ownership of the annual top cyber risk assessment and ongoing maturity of risk methodologies.
• Oversee cybersecurity risk governance, reporting, issue management, and control effectiveness, providing clear insights to senior leaders and governance forums.
• Define and standardize governance reporting standards, templates, cadence, and content expectations to ensure consistency, clarity, and comparability of cyber risk reporting.
• Coordinate cyber risk governance alignment across the CISO organization, ORM, IT, audit, and other stakeholders to ensure consistent interpretation and application of risk standards.
• Establish and maintain strong relationships with internal and external stakeholders, including cross-functional leaders, regulators, and auditors.
• Support alignment with applicable regulatory and industry cybersecurity risk management frameworks and expectations (e.g., FHFA, FFIEC, NIST CSF, CRI Profile, or equivalent).
• Support Cyber Risk Institute (CRI) maturity and controls assessments, including coordination with internal stakeholders and external auditors.
• Drive traceability, documentation, and auditability of cyber risk outputs, ensuring evidence and decision logic meet regulatory, internal audit, and examination standards.

Senior Director – Head of Cyber Security Risk, Technology and Operations Risk Management

Engineer

• Provide expert advice to the team
• Participate in designing, developing, testing, and/or maintaining hardware, technology, and/or processes
• Determine the needs of customer groups across multiple projects, programs, or products
• Identify and resolve conflicting and/or complementary needs
• Design and develop technical solutions, including leading matrixed teams
• Oversee the maintenance of existing technical solutions

Splunk Engineer

Analyst

• Analyzes information gathered from stakeholders about organizational needs and risks
• Reviews findings and advises on organization needs and risks
• Provides analysis on current strategies to fulfill needs and mitigate risks
• Advises on effectiveness of existing strategies and gathers more information

Real Estate Analyst

Full-stack Engineer

• Determine the needs of customer groups across multiple projects, programs, or products while identifying and resolving conflicting and/or complementary needs.
• Design and develop technical solutions, which include leading matrixed teams.
• Apply extensive expertise in process-driven approach in designing solutions.
• Oversee the maintenance of existing technical solutions.

Principal Engineer – Director IC, Exchange Platform, APIs, Files, AI protocols, others

General Counsel

• Consult with team members and management to provide core legal counsel and services to the business
• Document and enforce legal rights, and minimize legal risks
• Provide legal services in litigation or credit loss management
• Handle a mix of transactional, advisory, and enforcement matters across the Multifamily business
• Work closely with internal stakeholders and outside counsel
• Provide legal counsel on CRE finance transactions, mergers & acquisitions, contract interpretation and enforcement, confidentiality and data privacy
• Negotiate and draft contracts, disclosures, agreements, and other legal documents
• Advise on lender oversight, enforcement actions, and risk mitigation strategies
• Evaluate high-level legal and regulatory analyses and escalate potential regulatory and reputational issues
• Provide legal guidance on data privacy, technology development, digital platforms, and electronic transaction tools
• Collaborate with management and outside counsel on significant issues

Associate General Counsel – Multifamily Legal

Email Marketing Manager

• Execute email marketing campaigns across Fannie Mae’s business segments.
• Partner with segment marketing teams to translate business goals into effective email campaigns.
• Build, QA, and deploy emails and related assets.
• Ensure all communications are accurate, timely, and aligned with brand standards and email best practices.
• Monitor campaign performance, develop reports, and troubleshoot issues impacting deliverability and engagement.
• Partner with marketing teams and stakeholders to create customer-focused email experiences.
• Promote email best practices, ensuring consistency across business lines and campaigns.
• Apply HTML development expertise across email platforms and support related tools (e.g., Cvent) as needed.

Email Marketing Specialist

Risk

• Responsible for independent second line oversight across key operational risk domains
• Conduct and oversee deep-dive risk assessments that evaluate both the quality and impact of risk across domains
• Develop clear, concise, and well-structured risk reports and narratives tailored for senior leadership, committees, and the Board
• Identify emerging risks and evolving risk themes, proactively assessing impacts to the business
• Ensure consistent, high-quality issue identification, documentation, and escalation aligned to risk frameworks
• Drive improvements in risk assessment methodologies, reporting quality, and narrative clarity
• Provide independent challenge to the first line and influence risk-based decision making
• Support and enhance risk governance practices, including alignment to the three lines of defense model
• Engage with regulators, audit, and internal stakeholders, providing clear and credible risk perspectives.

VP, Technology, Data, Third-Party Risk Oversight

Product Manager

• Support development of the design strategy for new products
• Implement the process for new products
• Identify opportunities for product improvements
• Manage the product lifecycle and ongoing maintenance
• Ensure product strategy is in alignment with business objectives

Senior Product Management Associate – Single Family Market Engagement

Procurement

• Develop category strategy for one or multiple categories of spend and identify potential sourcing and demand management opportunities.
• Develop category insights through analysis of historical and projected spend, contractual relationships, and industry trends.
• Develop and execute strategic sourcing plans, partnering with business unit stakeholders and sourcing leads to drive optimal value for purchased goods and services.
• Lead strategic sourcing, procurement, licensing, and governance of financial information, market data, research, analytics, and enterprise data feeds.
• Manage relationships with key suppliers—including Bloomberg, Refinitiv, S&P Global, and others—to ensure cost efficiency, data quality, and regulatory compliance.
• Collaborate with teams across various organizations to align supplier services with Fannie Mae’s business strategy and partner requirements.
• Develop and execute a long-term category plan for Enterprise and Market Data, encompassing market data, research, analytics, credit ratings, and housing-related datasets.
• Promote demand management by streamlining suppliers and standardizing products to maximize business value.
• Lead comprehensive sourcing and contract negotiations from start to finish.
• Achieve measurable cost savings and return on investment.
• Manage strategic relationships with suppliers of data, including real-time and delayed market data, desktop analytics terminals, news feeds, legal research tools, credit and fixed-income ratings, and MLS/housing-related datasets.
• Evaluate supplier performance and support remediation efforts when necessary.
• Partner with cross-functional teams to ensure compliance with data governance standards.

Category Manager – Enterprise and Market Data

Marketing

• Build and lead a high-impact analytics function
• Develop and scale a best-in-class team, operating model, and roadmap that positions data and analytics as core drivers of marketing and business strategy.
• Drive executive decision-making through data and storytelling
• Translate complex analyses into clear, compelling narratives and recommendations; confidently present insights to senior leadership and influence enterprise priorities.
• Embed AI and advanced analytics into marketing
• Develop and apply predictive models, segmentation, CLV frameworks, and AI/ML-driven approaches to improve targeting, personalization, and performance.
• Own performance measurement and optimization
• Lead digital analytics, experimentation, SEO, and on-site search measurement - connecting insights across the customer journey to drive continuous optimization.
• Deliver scalable insights and self-service capabilities
• Design KPI frameworks, dashboards, and reporting that simplify complexity, accelerate decisions, and enable broader access to insights.
• Partner across the enterprise to enable data-driven marketing
• Collaborate with Marketing, Product, and Technology teams as well as our vendors and media agency to improve data quality, governance, and infrastructure readiness for advanced analytics and AI use cases.
• Drive organizational change
• Champion a data- and AI-driven culture; influence stakeholders across a large, complex organization to adopt new ways of working.

Senior Marketing Data and Analytics Manager

• Advise team members and business partners on the development, maintenance, and implementation of risk and policy frameworks aligned with Fannie Mae’s strategic priorities.
• Ensure Single-Family policies reflect appropriate risk tolerance and comply with applicable regulatory guidance, supervisory expectations, and internal governance standards.
• Provide guidance on internal policies, business standards, and regulatory interpretation to support sound risk and compliance decisions.
• Support policy change initiatives by assessing impacts, documenting requirements, and advising on implementation approaches.
• Develop and maintain policies that effectively balance risk management with business innovation, enabling responsible growth while ensuring regulatory compliance.
• Collaborate with Legal, Compliance, Single-Family business teams, and enterprise risk partners to ensure policies are consistent, well-governed, and effectively communicated.
• Partner with Digital Product teams to ensure policy requirements are accurately reflected in technology solutions.
• Monitor regulatory developments, industry trends, and emerging risks and assess implications for existing policies.
• Support audits, examinations, and issue remediation efforts by preparing analysis, documentation, and responses as needed.
• Contribute to continuous improvement efforts to enhance policy clarity, usability, and governance effectiveness.

Risk Advisor

• Develop and execute the enterprise cybersecurity risk management strategy, including supporting policies, processes, and initiatives aligned to firm standards, regulatory requirements, and industry best practices.
• Lead enterprise cyber risk identification, assessment, prioritization, and mitigation, including ownership of the annual top cyber risk assessment and ongoing maturity of risk methodologies.
• Oversee cybersecurity risk governance, reporting, issue management, and control effectiveness, providing clear insights to senior leaders and governance forums.
• Define and standardize governance reporting standards, templates, cadence, and content expectations to ensure consistency, clarity, and comparability of cyber risk reporting.
• Establish and maintain strong relationships with internal and external stakeholders, including cross‑functional leaders, regulators, and auditors.

Senior Director – Head of Cyber Security Risk

Artificial Intelligence

• Define and deliver enterprise governance models for AI/ML, agentic systems, and orchestrated multi‑agent ecosystems.
• Establish AI risk tiering, oversight models, and decision accountability frameworks for AI/ML, decision tools, and autonomous systems.
• Develop escalation thresholds and human‑in‑the‑loop requirements aligned to AI risk profiles and regulatory expectations.
• Author and maintain AI governance frameworks, standards, and research to guide responsible AI adoption.
• Build governance frameworks for customer‑facing AI agents, ensuring explainability, transparency, and appropriate consent.
• Create strategic frameworks and best practices for data and AI governance that balance innovation velocity with safe, ethical, and compliant deployment.
• Identify and evaluate emerging AI governance challenges and evolving regulatory expectations.
• Align AI governance strategy with enterprise objectives, transformation initiatives, and competitive positioning.
• Build strong relationships across business lines and Corporate Functions to shape and embed AI governance requirements.
• Apply deep technical expertise in AI/ML, including traditional ML, deep learning, multi‑modal models, and agentic constructs, to inform practical governance and risk management strategies.
• Provide technical leadership in governance, controls, compliance, and risk management for AI‑enabled technologies and architectures.
• Lead and influence large‑scale, complex AI/ML initiatives through cross‑functional collaboration and stakeholder engagement.
• Demonstrate strong technical writing skills tailored to technical, regulatory, and executive audiences.
• Bring hands‑on experience with agentic AI, autonomous systems, and AI architectures to support effective governance design and execution.
• Maintain awareness of applicable AI and privacy regulatory landscapes, including FHFA guidance.
• Exhibit executive presence and the ability to influence senior leadership and external stakeholders.