Job Description As a valued colleague on our team, you will validate models through conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include 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 MAKETheModel Validator Lead 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:
Produce model validation reports, and initial/ongoing assessments of models, evaluating performance-in-use and whether changes in the environment are creating increased model risk that needs to be mitigated.
Apply advanced skill, knowledge, and/or experience to complete model validation 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.
Qualifications THE EXPERIENCE YOU BRING TO THE TEAMMinimum Required Experiences:
Bachelor's degree in a quantitative field
4 years in model development or validation in the financial industry
Ability to program using R and Python
Skills in technical writing
Desired Experiences:
Advanced degree (Ph.D. or Masters) in a quantitative field such as Computer Science, Statistics, Biostatistics, Economics (with an Econometrics emphasis), Applied Finance, or Applied Mathematics
Experience in SAS or SQL
Knowledge of risk management governance (lines of defense)
Skills:
Proficiency in the mathematical, statistical, and computer science techniques used in model development
Ability to understand business contexts which create a need for models to support operations, often embedded within software applications used in business processes
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 Assessment Reviews and Validation Reports
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 careersmailbox@fanniemae.com.
