Model Validation - Advisor (Open to Remote)

Fannie Mae - Washington, DC

Full-time - Mid Level

Remote - Washington, DC

Credit Intermediation and Related Activities

About the position

The Model Validation - Advisor role at Fannie Mae focuses on identifying and managing model risks associated with business activities and regulatory compliance. This position allows for flexibility in daily tasks while collaborating with stakeholders to enhance model validation processes and performance monitoring. The role involves producing analyses for project management and executive reports, ensuring effective risk management, and fostering a culture of continuous improvement within the team.

Responsibilities

• Assist team in identifying and reporting existing and emerging model risks.
• Work closely with stakeholders to understand workflow processes for model validation and performance monitoring.
• Ensure risks associated with business activities are effectively identified, measured, monitored, reported, mitigated, and controlled.
• Produce qualitative and quantitative analyses for project management and executive-level reports.
• Collaborate on technology solutions for accurate data capture and reporting.
• Provide innovative solutions to improve business performance and support strategies.
• Apply understanding of business context to interpret results and assess risks.
• Oversee ad hoc quantitative analyses, modeling, or programming using various tools.

Requirements

• 6 years in model governance, validation, reporting or development.
• Excellent oral and written communication skills.
• Skilled in creating visual concepts and editing content.
• Adept at engaging with leadership and key stakeholders.
• Excellent analytical problem-solving and decision-making skills.
• Experience working collaboratively with diverse teams.
• Expertise in quantitative analytics in financial services.
• Experience in developing and testing hypotheses using statistical methods.

Nice-to-haves

• Bachelor's degree or equivalent; Master's degree preferred.
• Experience in Governance and Compliance.
• Experience with reporting platforms like Tableau and Excel.
• Proficiency in programming languages such as SAS, SQL, R, or Python.
• Experience in Learning and Training including instructional design.
• Experience in risk assessment and management.
• Focused experience in artificial intelligence (AI) and machine learning.

Benefits

• Health insurance coverage
• Life insurance coverage
• Voluntary lifestyle benefits
• Comprehensive benefits package enhancing physical, mental, emotional, and financial well-being