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Model Risk Business Process QA Reviewer - Advisor
- Fannie Mae (Washington, DC)
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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 homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
As a valued colleague on our team, you will, under limited supervision, 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 maintain a robust quality assurance framework to uphold high standards of quality in our model validation process.
*This position is considered a 2.5 LOD role. *
THE IMPACT YOU WILL MAKE
The* Model Risk Business Process QA Reviewer - Advisor *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:
* Maintain a quality assurance framework to ensure model validation teams complete model validation activities commensurate with requirements established in enterprise model risk policies, standards, and procedures
* Perform assessment reviews and recommend solutions for compliance with internal Model Governance policies, standards, and procedures and regulatory guidance.
* Coordinate quality assurance reviews and other quality assurance-related program elements across model risk governance teams, 2nd line functions, and other stakeholders
* Maintain and report 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.
* 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. Perform ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.
* Foster a culture of continuous improvement and quality excellence.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Skills and Experiences*
* 6 years in model governance, model validation, or model development
* Excellent oral and written communication
* Experience presenting information and/or ideas to an audience in a way that is engaging and easy to understand
* Excellent analytical problem-solving and decision-making skills, with the ability to effectively prioritize and manage multiple tasks and deadlines.
* 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
* Adept at analyzing data to identify trends or relationships to inform conclusions about the data; critical thinking
* Influencing skills including negotiating, persuading others, facilitating meetings, and resolving conflict
*Desired Skills and Experiences*
* Master’s degree or equivalent
* Experience in Governance and Compliance including interpretation of policies, evaluating compliance, enforcing standards and controls, etc.
Enterprise Model Risk - Quantitative Modeling - Advisor
Target Pay Range: $152,000 - $205,000 a year
\#LI-Hybrid #LI-ME1
Qualifications
Education:
Bachelor's Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. 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 .
Requisition compensation:
152000
to
205000
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].
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Model Risk Business Process QA Reviewer - Advisor
- Fannie Mae (Washington, DC)