Model Risk Analyst Lead Full Time

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.

We are currently hiring for one role that can sit out of either DC, Reston or Plano.

THE IMPACT YOU WILL MAKE

The Model Risk Analyst Lead role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• 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.
• 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 using SQL and Python with experience in Tableau or other BI tools.
• Foster a culture of continuous improvement and quality excellence.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 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.
• Proficiency in programming languages such as SAS, SQL, R, or Python
• Adept at analyzing data to identify trends or relationships to inform conclusions about the data; critical thinking
• 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
• Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas
• 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
• Experience working with people with different functional expertise respectfully and cooperatively to work towards a common goal

Desired Skills and Experiences

• Bachelor’s degree or equivalent; Master’s degree preferred
• Expertise in quantitative analytics applied to one or more areas within credit, interest rate, counterparty 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)

Source: Fannie Mae’s Career Page

Tagged as: REPE Firm