Quantitative Model Validator Advisor (Open to Remote)

Fannie Mae · Washington DC

Company

Fannie Mae

Location

Washington DC

Type

Full Time

Job Description

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 Advisor in Quantitative Modeling, you will apply extensive knowledge of advanced modeling techniques, joining a modeling community which creates solutions that use public and proprietary data in all areas of the mortgage finance business including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including of housing prices and interest rates, valuation of financial assets and derivatives, economic capital, and stress testing.

As a Advisor within the Enterprise Model Risk function, you will be a Model Validator ensuring that models are operating as intended, have been well-designed using sound application of statistical model development and econometric model-building practices, and are appropriate for their proposed model usages.
THE IMPACT YOU WILL MAKE
The Quantitative Model Validator Advisor 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:

  • Contribute to the production of the Model Validation Reports through technical analysis and write-ups.
  • 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
  • Bachelor degree or equivalent

Desired Experiences

  • An advanced degree (PhD. or Masters) in a quantitative field such as Computer Science, Statistics, Biostatistics, Economics (with an Econometrics emphasis), Applied Finance, or Applied Mathematics.
  • Experience in developing models or validating models used in credit risk or market risk.
  • Experience with a large financial institution which has Enterprise Risk Management functions that meet the needs of highly regulated financial institutions.

Skills

  • Fast-learning, building on a strong foundation of knowledge to continuously learn new techniques for building and managing model risks well.
  • Communicating technical subject matter clearly and concisely, both verbally and through well-written communications including Initial Assessment Reviews and Validation Reports.
  • Programming including coding, debugging, and using relevant programming languages
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Expertise in using statistical methods, including: developing and testing hypotheses, using experimental design, and running linear and logistic regressions

Tools

  • Advanced skills in using computer languages often used in model development such as Python and R.

Additional Information

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]. #LI-ME1

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.

Apply Now

Date Posted

03/21/2024

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