Lead Quantitative Modeler - Prepayment Models

Fannie Mae

3.9

(14)

Washington, DC

Why you should apply for a job to Fannie Mae:

  • 79% say women are treated fairly and equally to men
  • 71% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Training, mentoring, coaching, and feedback, as well as access to online learning and development courses with Fannie Mae University
  • Health assessments and mindfulness benefits
  • Student loan repayment and employer-assisted housing program
  • #REF13579H_P-100716-101

    Position summary

    ad Quantitative Modeler - Prepayment Models** 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:

    • Lead teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python.

    • Coach and mentor team members in utilizing 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 advanced skill, knowledge, and/or experience while leading teams to complete modeling projects aligned with established company policies and industry-wide modeling practices.

    • Contribute to developing validation or testing strategies and assessing the 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 department leadership and teams.

    THE EXPERIENCE YOU BRING TO THE TABLE

    Minimum Required Experiences

    • 4 years of research or industry experience in quantitative finance, econometric modeling, economics, credit risk modeling or big data analytics using Python and SQL.

    • Bachelor degree or equivalent

    Desired Experiences

    • Advanced Degree in Data Science, Economics, Math, Statistics, or a related field

    • In-depth knowledge of the mortgage industry and MBS market.

    • Hands-on experience building MBS prepayment models for pricing MBS and calculating risk analytics.

    • Proficient in Python and skilled in AWS tools.

    • Strong business acumen with the ability to digest complex issues and communicate in a concise manner to influence desired outcomes.

    • Excellent communication skills with proven ability to explain complex models to business users and stakeholders.

    • Experience mentoring and leading junior analysts and quantitative modelers.

    Qualifications

    Education:
    Bachelor's Level Degree (Required)

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

    Fannie Mae is a flexible hybrid company. We embrace flexibility for our employees to work where they choose, while also providing office space for in-person work if desired. At times, while business need may call for on-site collaboration, which means proximity within a reasonable commute to your designated office location is preferred unless job is noted as open to remote.

    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]

    Requisition compensation:
    138000
    to
    180000

    Why you should apply for a job to Fannie Mae:

  • 79% say women are treated fairly and equally to men
  • 71% would recommend this company to other women
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Training, mentoring, coaching, and feedback, as well as access to online learning and development courses with Fannie Mae University
  • Health assessments and mindfulness benefits
  • Student loan repayment and employer-assisted housing program