Quantitative Modeler III

Job Description

THE COMPANY

Fannie Mae provides reliable, large-scale access to affordable mortgage credit in communities across our nation. We are the leading source of funding for housing in America, which means more people can buy or rent a home. We are focused on sustaining the housing recovery, improving our company, and leading change to make housing better.

Join our diverse, high-performing team and make a difference as we work together to enable access to a good home.

For more information about Fannie Mae, visit www.fanniemae.com/progress.

JOB INFORMATION
Support, develop, assess, and execute statistical, mathematical, economic, and financial models for business decision making, risk assessment, financial valuation, and performance measurement in all areas of mortgage finance business.

KEY JOB FUNCTIONS

 

 

  • Under general direction of supervisor or senior staff, conduct theoretical and empirical research using public and proprietary data in all areas of commercial mortgage finance business, including mortgage products and securities, borrower behavior, commercial property valuation, economic capital, and stress testing.
  • Apply mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions to support business strategies and initiatives.
  • Utilize data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
  • Identify opportunities to apply quantitative methods to improve business performance
  • Complete modeling projects in accordance with established company policies and generally-accepted modeling practices
  • Implement validation strategies and assess the quality and risk of model methodologies, outputs, and processes with some supervision
  • Apply understanding of relevant business context to properly interpret model results, monitor performance and assess risks
  • Conduct quantitative analyses, modeling, or programming using R, or Python or Machine learning platforms such as SageMaker, Domino Lab, IBM Watson, or Dataiku.
  • Provide guidance and coaching to junior team members on analyses and modeling projects. Communicate technical subject matter clearly and concisely, both verbally and through written communication via white papers, reports and presentations, to individuals from various backgrounds.
  • Collaborate effectively as part of a team and across organizational lines

 

 

EDUCATION

Education Level Required (if any)
Bachelors degree

 

 

Education Level Preferred(if any)
Masters, PhD or Other Advanced Degree
MINIMUM EXPERIENCE
4-6 years 
SPECIALIZED KNOWLEDGE & SKILLS
  • Conduct theoretical and empirical research using public and proprietary data in all areas of mortgage finance business, including mortgage products, borrower behavior and commercial property valuation.
  • Apply mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions to support business strategies and initiatives
  • Utilize data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations
  • Conduct quantitative analyses, modeling, or programming using Python or Machine learning platforms such as SageMaker.
    

EMPLOYMENT

As a condition of employment with Fannie Mae, any successful job applicant will be required to successfully complete a background investigation.

Fannie Mae is an Equal Opportunity Employer.

 

 


Req ID: 58077