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Advisor Quantitative Modeler - Multifamily (Open to Remote)

AT Fannie Mae
Fannie Mae

Advisor Quantitative Modeler - Multifamily (Open to Remote)

Washington, DC
  • Target Hiring Range (1): 152000
  • Target Hiring Range (2): 205000

  • Company Description

    At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

    Job Description

    As a valued contributor to our team, you will apply extensive knowledge of principles, advanced techniques, and theories to conduct theoretical and empirical research with public and proprietary data in all areas of multifamily mortgage finance business, including commercial property valuation, macroeconomic models including property value, NOI and interest rate, 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.

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    THE IMPACT YOU WILL MAKE
    The Advisor Quantitative Modeler - Multifamily 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:

    • Recommend improved methods and techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives, as well as better ways of conducting or assessing 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.
    • Counsel teams on company policies and industry-wide modeling practices.
    • Inform the team's technical direction for validation or testing strategies and assessment of quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks.
    • Communicate technical subject matter clearly and concisely to team leadership and project stakeholders.

    Qualifications

    THE EXPERIENCE YOU BRING TO THE TEAM

    Minimum Required Experiences

    • 6 years' experience with developing quantitative models and applying quantitative methods to solve business problems required
    • Programming using Python or R

    Desired Experiences

    • Bachelor degree r equivalent Economics, Math, Statistics, Data Science or a related field
    • Experiences with developing macroeconomic forecast models preferred
    • Experiences with forecasting multifamily or similar commercial real estate property value and NOI preferred
    • Demonstrated ability to lead a team, manage research tasks and timeline, and communicate technical subject to business users

    Additional Information

    REF13569T

    The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.

    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 [email protected].

    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.

    Client-provided location(s): Washington, DC, USA
    Job ID: Fannie-744000037854812
    Employment Type: Full Time

    Perks and Benefits

    • Health and Wellness

      • Health Insurance
      • Dental Insurance
      • Vision Insurance
      • FSA
      • On-Site Gym
      • Life Insurance
      • Short-Term Disability
      • Long-Term Disability
      • HSA With Employer Contribution
      • Fitness Subsidies
      • Mental Health Benefits
    • Parental Benefits

      • Birth Parent or Maternity Leave
      • Adoption Assistance Program
      • Adoption Leave
      • Non-Birth Parent or Paternity Leave
      • Fertility Benefits
      • Family Support Resources
    • Work Flexibility

      • Flexible Work Hours
      • Hybrid Work Opportunities
      • Remote Work Opportunities
    • Office Life and Perks

      • Commuter Benefits Program
      • Casual Dress
      • Happy Hours
      • On-Site Cafeteria
      • Holiday Events
    • Vacation and Time Off

      • Paid Vacation
      • Paid Holidays
      • Personal/Sick Days
      • Leave of Absence
      • Volunteer Time Off
      • Summer Fridays
    • Financial and Retirement

      • 401(K) With Company Matching
      • Financial Counseling
      • Relocation Assistance
    • Professional Development

      • Tuition Reimbursement
      • Promote From Within
      • Internship Program
      • Leadership Training Program
      • Associate or Rotational Training Program
      • Shadowing Opportunities
      • Access to Online Courses
      • Lunch and Learns