Campus - Analytics and Modeling Program Associate (Flexible Hybrid)
3 weeks ago
As an Analytics & Modeling Associate, you will work with cutting-edge technology on diverse teams that foster innovation and collaboration. We offer an opportunity to receive on-the-job training, gain professional development, and build a wide network of peers, managers, and officers who are experts in their fields.
THE IMPACT YOU WILL MAKE
The Analytics and Modeling Program offers you an opportunity to develop and implement analytical skills by providing research into analytic capabilities, producing insights, and providing consultative services, and leveraging our data and quantitative expertise to ultimately power quality and intelligent decisions for managing the business, financial reporting, risk control and delegation capabilities.
You will participate in a 10-week seminar-style training for both your mortgage industry knowledge and quantitative analytics capabilities. Business courses provide you with comprehensive coverage of key business areas, such as Underwriting and Pricing, Capital Markets, Loss Mitigation, Risk Management, etc. Technical courses include Statistics, SQL, R, and Python. Through hands-on experience and interaction with the analytics teams during the training, you will gain a strong understanding of Fannie Mae’s business and have a quick start on your technical capability.
The Day-to-Day
After training completion, you will be assigned an Analytics Team from the below four functions within Fannie Mae:
- Single Family Analytics – Helping our business partners make decisions through targeted analytics. Providing analysis that is fast, accurate, real-time, easy to access and easy to understand, including econometric models, data visualization, web-based self-service solutions and analytics infrastructure design.
- Finance Business Analytics – Building and applying models of Single-Family and Multifamily loan performance and valuation, property valuation and home price forecasting to deliver critical estimates for use in financial results and regulatory reporting, perform sensitivity analyses to help inform senior management planning, and provide estimates of the impacts of alternative strategic initiatives, specifically related to capital management.
- Enterprise Modeling and Analytics – Helping to advance core models using project economic scenarios to predict borrower behavior and develop common modeling applications that host core models and generate common mortgage cash flows.
- Enterprise Risk Management – Establishing, monitoring and reporting on business performance by leveraging enterprise data to identify emerging risks and trends. Enhancing the company’s risk analytics and capabilities using innovative and predictive capabilities. Reviewing model application implementation and data processing in various technology platforms.
ADDITIONAL DEVELOPMENT YOU’LL RECEIVE
At Fannie Mae, Associates have the opportunity to access the learning resources and employee network to start their career strong. Take advantage of the chance to deepen your industry knowledge, understand our culture, and learn from experts in various fields. During your first year at Fannie Mae, you can expect:
- Access to our mentorship program through Fannie Mae’s Young Professionals Employee Resource Group to gain valuable guidance from colleagues.
- Learn more about the housing finance industry and related issues through our Future Housing Leaders program curriculum.
- Invitations to speaker series events to access leaders across the enterprise who will discuss topics relevant to the industry and our company mission.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Qualifications
- Be authorized to work in the U.S. without sponsorship
- Academic achievement (preferred GPA of 3.2 or above)
- Bachelor’s degree or higher obtained between December 2024 and May 2025 (All Analytics and Modeling Program Associates will have a start date in June 2025)
Preferred Qualifications
- Data Science, Computer Science, Math, Finance, Statistics, and Economics with a quantitative focus major are preferred
- Strong analytical background
- Demonstrated leadership capabilities and the ability to contribute to a team atmosphere
- Demonstrated research and numerical problem-solving skills
- Self-starter, strong business acumen, and results focused
- Superior communication skills, both oral and written
- Fluency and aptitude with technology applications
Additional Information
#LI-DNI
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is 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.
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 careers_mailbox@fanniemae.com.
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.
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