Model Risk Reporting Data Analyst Lead

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 home ownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

As a valued colleague on our team, you will support the oversight of theoretical and empirical research in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models, including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing. In this role, you will help manage and perform analytics and reporting functions supporting model governance and risk management.

• Assist team in the identification and reporting of existing and emerging model risks that stem from business activities, internal processes, and changes in the financial services industry, regulatory compliance, or other external environmental factors.
• Work closely with relevant stakeholders to understand all aspects of the workflow processes managed for model validation, model performance monitoring, and model issue management and generate recommendations for identified patterns.
• Ensure risks associated with business activities are effectively identified, measured, monitored, reported, mitigated, and controlled.
• Participate in producing qualitative and quantitative analyses for project management and executive-level reports to provide a strategic view of model risk to key stakeholders; design, implement, and maintain an inventory of processes, controls, metric framework and dashboards supporting portfolio and business process assessments.
• Collaborate on technology solutions to facilitate accurate and comprehensive data capture for compilation, processing, and interpretation required in regular and ad hoc reporting to stakeholders, executive leadership teams, and regulators. Provide innovative thorough, and practical solutions that improve business performance and support business strategies and initiatives. Oversee all phases of SDLC for managed applications.
• Apply understanding of relevant business context to interpret results, monitor performance, and assess risks, which may include the application of mathematic, statistical, and econometric techniques. Perform ad hoc quantitative analyses, modeling, or programming using Tableau, SAS, SQL, R, or Python.
• Foster a culture of continuous improvement and quality excellence.

• 4 years in model governance, validation, reporting or development
• Excellent analytical problem-solving and decision-making skills, with the ability to effectively prioritize and manage multiple tasks and deadlines.
• Adept at analyzing data to identify trends or relationships to inform conclusions about the data; critical thinking
• Excellent oral and written communication; experienced at presenting information and/or ideas to an audience in a way that is engaging and easy to understand
• Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas
• Skilled in the graphical representation of information in the form of a charts, diagrams, pictures, and dashboards with programs and tools such as Excel, Tableau, or Power BI
• Proficiency in programming languages such as SAS, SQL, R, or Python
• Proficiency in system deployment management software such as JIRA and Git
• Experience with cloud computing platforms, Agile development, and SDLC
• Experience working with people with different functional expertise respectfully and cooperatively to work towards a common goal

• Bachelor’s degree or equivalent;
  Master’s degree preferred
• Expertise in quantitative analytics applied to one or more areas within credit, interest rate, counter party credit risk, and/or fixed income valuation in the financial services industry
• Expertise in developing and testing hypotheses, using experimental design, and applied statistical methods (e.g., regression analysis and AI/ML techniques)
• Experience in Governance and Compliance including interpretation of policies, evaluating compliance, creating and enforcing standards and controls, etc.
• Adept at engaging with leadership and key stakeholders to drive consensus and action, including the ability to explain technology solutions and processes in business terms

138, - 220,000 a year

#LI-Hybrid #LI-ME1

Education:

Bachelor's Level Degree (Required)

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