Model Risk Reporting Director

Summary

Join our team at Fannie Mae as the Model Risk Reporting Director (Open to Remote) and lead a team responsible for evaluating operations and compliance in mortgage finance business, including model governance and risk management.

Requirements

• 8 years in model validation or model development
• 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)
• 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
• 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
• 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
• Collective capabilities for leadership, including leading teams, giving feedback, facilitating meetings, and coaching and mentoring
• Influencing skills including negotiating, persuading others, facilitating meetings, and resolving conflict
• Excellent analytical problem-solving and decision-making skills, with the ability to effectively prioritize and manage multiple tasks and deadlines
• Experience working with people with different functional expertise respectfully and cooperatively to work towards a common goal
• Adept at managing project plans, resources, and people to ensure successful project completion
• Adept at analyzing data to identify trends or relationships to inform conclusions about the data; critical thinking

Responsibilities

• Direct teams 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
• Produce 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
• 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. Oversee ad hoc quantitative analyses, modeling, or programming using Tableau, SAS, SQL, R, or Python
• Build, develop, and motivate a high performing team
• Foster a culture of continuous improvement and quality excellence

Preferred Qualifications

• Bachelor degree or equivalent; Master degree preferred
• Experience in Governance and Compliance including interpretation of policies, evaluating compliance, creating and enforcing standards and controls, etc
• Experience in Risk Assessment and Management including evaluating and designing controls, conducting impact assessments, identifying control gaps, remediating risk, etc
• Determining causes of operating errors and taking corrective action
• Experience with reporting platforms, including Tableau, Excel, and PowerBI
• Proficiency in programming languages such as SAS, SQL, R, or Python
• Experience related to Learning and Training including conducting, developing, and evaluating training, instructional design, and learning management systems