Search the 40 jobs at Fannie Mae

The Director of Data Science & AI will lead a team in producing advanced analytics and AI solutions, support strategy implementation through data mining and predictive modeling, and ensure effective communication of complex data insights. Responsibilities include driving AI advancements, collaboration with product teams, and applying innovative data science practices to enhance business applications.

The Model Validator Lead Associate role involves validating models through research with public and proprietary data, producing validation reports, developing testing strategies, and communicating technical matters to leadership. The position focuses on evaluating model performance and risks in the mortgage finance sector.

As an Analytics & Modeling Associate, you will develop analytical skills, research analytic capabilities, and produce insights. The role includes participation in comprehensive training covering mortgage industry knowledge and quantitative analytics, followed by assignment to analytics teams to apply skills in real-world scenarios.

As a Payroll Advisor at Fannie Mae, you will handle full-cycle payroll processing using Workday, resolve discrepancies, ensure compliance with payroll regulations, and manage special projects. The role emphasizes excellent customer service and requires maintaining confidentiality and proactive process improvement.

As an Analytics & Modeling Associate at Fannie Mae, you will develop analytical skills through hands-on training and teamwork. The role involves using cutting-edge technology to provide research, insights, and consultative services in various analytics functions like finance and risk management, contributing to informed business decisions.

As a Mortgage Credit Risk and Capital Analytics Advisor, you will apply mathematical models and advanced tools to analyze financial data, develop insights for business decisions, and report on business performance. Key responsibilities include guiding data processing, executing models, and interpreting results while collaborating with the team.

In this role, you will lead strategic planning and execution for Fannie Mae's initiatives, manage data workstreams, collaborate with stakeholders and regulators, and oversee timely program execution and resolution planning requirements. You will also draft resolution-specific materials and guide the management through strategy development and implementation.

The Lead Associate in Enterprise Analytics and Modeling focuses on assessing risks associated with AI/ML implementations. Responsibilities include governance compliance, stakeholder collaboration, risk assessment in AI/ML use cases, and leading risk management efforts. The role also involves program management and oversight of risk management practices, as well as communication and training on AI/ML risk processes.

The VP & Head of Balance Sheet Market Risk Oversight is responsible for managing the team's oversight of balance sheet market risk at Fannie Mae. This role includes developing risk metrics, monitoring market conditions, leading assessments of market risk practices, and ensuring effective communication of market risk exposures. The position requires extensive experience in market risk management and strong leadership skills to collaborate across the organization.

The Senior Network Engineer - Cloud Infrastructure will design and develop solutions for IT infrastructure, manage performance metrics, support cloud engineering, automate processes, and collaborate with teams on technology solutions.

As a Fair Lending Project Management Senior Associate, you will manage fair lending compliance projects, ensure timely delivery, monitor progress, prepare reports, enhance policies, and develop training programs for stakeholders. Your role will require strong organizational and project management skills, along with the ability to communicate complex concepts effectively.

The Fair Lending Project Management Senior Associate will manage a portfolio of fair lending compliance projects, ensuring timely delivery while adhering to regulatory standards. Responsibilities include developing reports for senior management, enhancing internal policies, conducting training on compliance, and providing administrative support as needed.

The Fair Lending Risk Management Lead Associate at Fannie Mae will manage fair lending compliance, conduct risk assessments, and oversee regulatory deliverables. Responsibilities include monitoring business activities for compliance, preparing analyses, and collaborating with internal teams and regulators on fair lending matters. The role requires developing training materials to educate staff on compliance issues and leading targeted reviews and risk assessments.

The Fair Lending Risk Management Lead Associate will oversee the compliance with fair housing and lending laws, conduct risk assessments, and collaborate with business units and regulators. Responsibilities include managing compliance activities, preparing reports, enhancing policies, and training stakeholders on fair lending principles.

In the Fair Lending Risk Management Lead Associate role, you will oversee compliance with fair housing and lending laws, lead risk assessments, manage regulatory deliverables, prepare analyses for senior management, and train internal stakeholders on fair lending principles.

The Senior Associate will support fair lending initiatives by conducting risk assessments and compliance reviews, managing data systems, analyzing models for fair lending risks, and designing modeling applications. Responsibilities include gathering and reporting data and presenting findings in technical and accessible formats.

The Fair Lending Analytics and Modeling Senior Associate will conduct fair lending analyses using statistical methods, support fair lending compliance reviews, manage data systems, and design modeling applications. Responsibilities include evaluating AI/ML models, ensuring data quality, and presenting findings to diverse audiences.

The Senior Associate will support fair lending initiatives by conducting risk assessments, managing data, reviewing models for housing risks, and designing modeling applications. Responsibilities include analyzing data for fair lending, applying best practices in research, and communicating findings through presentations and visualizations.

The role involves assessing and identifying insurance risks for Fannie Mae, collaborating with stakeholders, and applying knowledge of insurance principles to minimize risks. Responsibilities include auditing compliance practices, training staff on insurance requirements, and serving as a subject matter expert in insurance-related matters.

As a Senior Associate in Finance Technology, you will develop and test automation tools and frameworks, perform application automation and manual regression testing, document processes, troubleshoot issues across platforms, and collaborate with teams on automated testing methodologies. You'll also mentor less experienced staff.