Quality Assurance - Quantitative Modeling - Lead (Open to Remote)

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

As a valued colleague on our team, you will act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include 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 support a robust quality assurance framework to uphold high standards of quality in our model validation process. Additionally, you will coach and mentor team members.

THE IMPACT YOU WILL MAKE
The Quality Assurance - Quantitative Modeling - Lead Associate 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:

• Lead teams in assessing compliance with Model Governance through reviews against internal policies, standards, and procedures and regulatory guidance
• Lead coordination of quality assurance reviews and other quality assurance-related program elements across model risk governance teams and stakeholders
• 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. Provide innovative thorough, and practical solutions that improve business performance and support business strategies and initiatives. Conduct ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.
• Contriute in defining and maintaining comprehensive program metrics and key performance indicators
• Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or workpapers to department leadership and teams.
• Foster a culture of continuous improvement and quality excellence.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Skills and Experiences

• 4 years in model governance, model validation, or model development
• Adept at analyzing data to identify trends or relationships to inform conclusions about the data; critical thinking
• Experience working with people with different functional expertise respectfully and cooperatively to work towards a common goal
• Experience 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
• Analytical problem-solving and decision-making skills, with the ability to effectively prioritize and manage multiple tasks and deadlines.
• Experience presenting information and/or ideas to an audience in a way that is engaging and easy to understand

Desired Skills and Experiences

• Bachelor degree or equivalent
• Experience in Governance and Compliance including interpretation of policies, evaluating compliance, 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.
• Experience in developing and testing hypotheses, using experimental design, and applied statistical methods (e.g., regression analysis and AI/ML techniques)
• Determining causes of operating errors and taking corrective action
• Experience with reporting platforms, including Tableau, Excel, or PowerBI
• Proficiency in programming languages such as SAS, SQL, R, or Python
• Experience in managing project plans, resources, and people to ensure successful project completion
• Influencing skills including negotiating, persuading others, facilitating meetings, and resolving conflict
• 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

The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

Fannie Mae is primarily a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at [email protected].

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.