Fannie Mae

Senior Analytics & Modeling Associate

Fannie Mae$123K — $161K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2 years of experience in quantitative analysis, statistical modeling, or predictive analytics.
  • Proficient in Python, SAS, R, or SQL for data analysis.
  • Experience managing structured and unstructured datasets.
  • Strong communication skills for technical and non-technical audiences.
  • Collaborative mindset to work with cross-functional teams.
  • Eagerness to learn and implement new technologies like AI.

Responsibilities

  • Apply mathematical and statistical techniques to develop solutions.
  • Conduct ad-hoc quantitative modeling with SAS, SQL, R, or Python.
  • Manage and deliver modeling projects according to industry practices.
  • Implement model validation and assess quality and risk.
  • Interpret model results in the context of business performance.
  • Communicate technical findings clearly in reports and presentations.

Benefits

  • Comprehensive health and life insurance packages.
  • Participation in an incentive program.
  • Focus on employee physical, mental, and financial well-being.
  • Opportunities for professional development and learning.
Full Job Description


Job Description

As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data 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.

THE IMPACT YOU WILL MAKE

The Senior Analytics & Modeling 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:
  • Apply moderately complex mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives.
  • Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python. Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance.
  • Apply experience and skill to complete modeling projects aligned with established company policies and industry-wide modeling practices.
  • Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes.
  • Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
  • Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or workpapers


Minimum Required Experiences:
  • 2 years experience performing quantitative analysis, statistical modeling, or predictive analytics to solve complex business problems
  • Experience using programming languages such as Python, SAS, R, or SQL for data analysis, model development, and automation
  • Experience working with large, structured and unstructured datasets, including data preparation, validation, and quality assessment
  • Experience communicating analytical findings and technical concepts to both technical and non-technical stakeholders through clear documentation and presentations
  • Experience collaborating with cross-functional teams, including business, technology, risk, and governance partners, to deliver analytical solutions
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work


Desired Experiences:
  • Bachelor degree or equivalent
  • Experience in financial services, mortgage finance, banking, or risk management
  • Knowledge of statistical and machine learning techniques, such as regression, classification, clustering, time series forecasting, or tree-based models
  • Experience with cloud-based analytics platforms (AWS, Azure, or GCP), Git, and data visualization tools such as Tableau or Power BI


Enterprise Modeling and Analytics - Quantitative Modeling - Senior Associate

Target Pay Range: $123,000 - $161,000 a year

#LI-Hybrid #LI-ME1

Qualifications

Education:
Bachelor's Level Degree (Required)

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.

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:
123000
to
161000

About Fannie Mae

As the leading source of residential mortgage credit in the U.S. secondary market, Fannie Mae is supporting today's economic recovery and helping to build a sustainable housing finance system. They exist to provide reliable, large-scale access to affordable mortgage credit in all communities across the country at all times so people can buy, refinance, or rent homes. Fannie Mae is working to establish and implement industry standards‚ develop better tools to price and manage credit risk‚ build new infrastructure to ensure a liquid and efficient market and facilitate the collection and reporting of data for accurate financial reporting and improved risk management. Fannie Mae is committed to being their customers’ most valued business partner and delivering the products, services and tools their customers need to serve the entire market confidently, efficiently and profitably. Ultimately‚ Fannie Mae measures their progress not only by paying taxpayers and improving the housing finance system‚ but also by the difference they make in people’s lives.

Fannie Mae Careers

Join the vibrant team at Fannie Mae, where we are committed to solving the challenges of today's housing market while fostering inclusive growth and innovation. As a cornerstone of the American mortgage system, Fannie Mae offers unparalleled job opportunities that empower you to influence the future of housing finance. Work You’ll Do At Fannie Mae, you will collaborate with some of the brightest minds in the finance and technology sectors. Our mission is to ensure access to affordable housing for people across the United States, and your work here will contribute to that goal. With roles ranging from financial analysis to technology development, your career at Fannie Mae will be marked by growth, leadership, and the pursuit of excellence. Innovate and Lead Fannie Mae stands at the intersection of financial services and innovative technology solutions, making it an ideal place for those who are driven to explore new ideas and push boundaries. Our culture thrives on innovation and leadership, encouraging every team member to bring forward ideas that drive efficiency and effectiveness. Professional Growth and Development Career advancement at Fannie Mae is not just a possibility—it is an expectation. We are dedicated to the professional growth of our employees through robust training programs, leadership workshops, and continuous learning opportunities. Whether you are looking to sharpen your analytical skills, enhance your leadership capabilities, or dive deep into the housing market dynamics, Fannie Mae provides the resources to achieve your professional goals. Diversity and Inclusion At Fannie Mae, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where diverse voices are heard and valued. Through diversity training and a culture that celebrates unique perspectives, we ensure that all team members can contribute to their fullest potential. Join Our Team Explore the array of job opportunities at Fannie Mae, from internships for budding professionals to full-time positions for seasoned experts. We are hiring individuals who are passionate, curious, and eager to make a difference. Our team is looking for candidates who not only have the necessary skills but also embody our values of integrity, impartiality, and respect. Benefits and Perks Working at Fannie Mae comes with a comprehensive benefits package designed to support the health, well-being, and financial security of our employees and their families. From competitive health benefits and retirement plans to flexible working arrangements and wellness programs, we prioritize the well-being of our team members. Stay Connected Networking and staying connected are key components of building a successful career at Fannie Mae. Engage with us through various professional networking events, online communities, and social platforms to stay updated on new positions, company news, and industry trends. Apply Now Ready to take the next step in your career? Review our open positions, tailor your resume, and prepare for an interview that could set you on a path to a rewarding career at Fannie Mae. We are excited to see how your vision, skills, and enthusiasm can contribute to our team and the broader mission of affordable housing. Explore Fannie Mae Jobs Discover the exciting and impactful career paths available at Fannie Mae. Each position offers the opportunity to challenge yourself, contribute to a significant cause, and work within a culture that values innovation, leadership, and community impact. Join us in shaping the future of housing finance—apply today and be part of a team that is dedicated to making a difference.
Learn more about Fannie Mae
Size
7,400 employees
Industry
Founded
1938
NASDAQ

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