Model Risk Business Intelligence 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 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 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 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 Business Intelligence 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 modeling or programming using Tableau SAS SQL R or Python.

• 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.

• 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

• Experience working with people with different functional expertise respectfully and cooperatively to work towards a common goal

Desired Skills and Experiences

• Bachelors degree or equivalent; Masters 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)

Enterprise Model Risk - Quantitative Modeling - Lead Associate

138000 - 180000 a year

#LI-Hybrid #LI-ME1

Qualifications

Education:

The future is what you make it to be. Discover compelling opportunities at most roles employees are expected to work onsite on a regular basis at their designated office -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 employees physical mental emotional and financial well-being. See more here.

Requisition compensation:

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