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Analytics and Modeling Program Associate
2 months ago
As an Analytics & Modeling Associate, you will engage with advanced technology within collaborative teams that encourage innovation and teamwork. This role provides a chance to receive practical training, enhance your professional skills, and expand your network with peers and leaders who are specialists in their domains.
YOUR CONTRIBUTION
The Analytics and Modeling Program allows you to cultivate and apply analytical skills by conducting research into analytic capabilities, generating insights, and offering consultative services. You will utilize our data and quantitative expertise to facilitate informed and strategic decisions regarding business management, financial reporting, risk oversight, and operational delegation.
You will undergo a comprehensive seminar-style training lasting 10 weeks, focusing on both mortgage industry knowledge and quantitative analytics skills. The business curriculum will cover essential areas such as Underwriting, Pricing, Capital Markets, Loss Mitigation, and Risk Management. Technical training will encompass Statistics, SQL, R, and Python. Through practical experience and collaboration with analytics teams during this training, you will gain a robust understanding of the organization’s operations and quickly enhance your technical skills.
DAILY RESPONSIBILITIES
Upon completing your training, you will be assigned to an Analytics Team within one of the following four functions:
- Single Family Analytics – Assisting business partners in decision-making through targeted analytics. Delivering analyses that are timely, precise, and user-friendly, including econometric models, data visualization, and analytics infrastructure design.
- Finance Business Analytics – Developing and applying models for loan performance and valuation, property valuation, and home price forecasting to provide critical estimates for financial results and regulatory compliance.
- Enterprise Modeling and Analytics – Advancing core models using economic scenarios to forecast borrower behavior and create common modeling applications that generate standard mortgage cash flows.
- Enterprise Risk Management – Monitoring and reporting on business performance by leveraging enterprise data to identify emerging risks and trends, while enhancing risk analytics capabilities.
ADDITIONAL GROWTH OPPORTUNITIES
At Fannie Mae, Associates can access a wealth of learning resources and a professional network to launch their careers effectively. You will have the opportunity to deepen your industry knowledge, understand our organizational culture, and learn from experts across various fields. During your initial year, you can expect:
- Participation in a mentorship program through the Young Professionals Employee Resource Group for valuable guidance.
- Insights into the housing finance industry through the Future Housing Leaders program curriculum.
- Invitations to speaker series events featuring leaders discussing relevant industry topics.
QUALIFICATIONS
Minimum Requirements
- Authorization to work in the U.S. without sponsorship.
- Strong academic performance (preferred GPA of 3.2 or higher).
- Bachelor's degree or higher obtained within the specified timeframe.
Preferred Qualifications
- Majors in Data Science, Computer Science, Mathematics, Finance, Statistics, or Economics with a quantitative focus.
- Robust analytical skills.
- Demonstrated leadership abilities and teamwork contributions.
- Strong research and numerical problem-solving skills.
- Self-motivated with strong business insight and results-oriented.
- Excellent communication skills, both verbal and written.
- Proficiency with technology applications.
Fannie Mae's Commitment
Fannie Mae is dedicated to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to any legally protected status. This position is eligible for participation in an incentive program, subject to the program's terms, and comes with a comprehensive benefits package aimed at enhancing employees' overall well-being.