Senior Analytics & Modeling Associate

Posted 4 Hours Ago
Be an Early Applicant
2 Locations
In-Office
123K-161K Annually
Senior level
Financial Services
The Role
Conduct theoretical and empirical research in mortgage finance; develop and validate statistical, econometric, and predictive models; analyze large structured and unstructured datasets using Python/SAS/R/SQL; implement model validation and testing; interpret results within business context; communicate findings to technical and non-technical stakeholders; collaborate with cross-functional teams and apply new technologies including AI to improve analytics and business performance.
Summary Generated by Built In

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, 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)

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:

123000

to

161000

Skills Required

  • Minimum 2 years performing quantitative analysis, statistical modeling, or predictive analytics
  • Experience using 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 technical and non-technical stakeholders
  • Experience collaborating with cross-functional teams (business, technology, risk, governance)
  • Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence
  • Bachelor's level degree
  • Experience in financial services, mortgage finance, banking, or risk management
  • Knowledge of statistical and machine learning techniques (regression, classification, clustering, time series, tree-based models)
  • Experience with cloud platforms (AWS, Azure, GCP), Git, and data visualization tools (Tableau or Power BI)

Fannie Mae Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fannie Mae and has not been reviewed or approved by Fannie Mae.

  • Fair & Transparent Compensation Pay is considered competitive versus industry peers, with base and total compensation viewed as strong for many roles. Public postings and third-party salary bands indicate competitive ranges and reinforce confidence in market alignment.
  • Retirement Support The 401(k) program is highlighted as notably generous and a standout element of total rewards. Employer contributions meaningfully support long-term wealth-building.
  • Leave & Time Off Breadth Paid vacation, holidays, and volunteer time are described as ample, with strong parental leave complementing time-off flexibility. The breadth of PTO stands out as a core strength of the package.

Fannie Mae Insights

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The Company
HQ: Washington, DC
10,886 Employees
Year Founded: 1938

What We Do

Fannie Mae serves the people who house America. We are a leading source of financing for mortgage lenders, providing access to affordable mortgage financing in all markets at all times. Our financing makes sustainable homeownership and workforce rental housing a reality for millions of Americans. We also help make possible the popular 30-year, fixed-rate mortgage, which provides homeowners with stable, predictable mortgage payments over the life of the loan. Our tools and resources help homebuyers, homeowners, and renters understand their housing options. We put our customers and partners at the center of everything we do. We apply our experience and expertise to deliver innovative solutions to help our customers succeed. At Fannie Mae, our people pour their hearts into everything they do. Because we know it makes a real difference in others’ lives. We are committed to moving forward with our partners to build a stronger, safer, more efficient housing finance system. Join us to help shape the future of housing: http://fanniemae.com/careers.

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