Model Validator Lead Associate

Summary

Join Fannie Mae and become a Model Validator Lead Associate, contributing to the validation of models through theoretical and empirical research using public and proprietary data across various mortgage finance areas. You will produce model validation reports, assess model performance, and develop validation strategies. This role requires strong quantitative skills, experience in model development or validation, and proficiency in R and Python. Fannie Mae offers a flexible hybrid work environment and a comprehensive benefits package.

Requirements

• 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

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

Preferred Qualifications

• 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)
• 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

Benefits

• Flexible hybrid company
• Incentive program
• Health, Life, Voluntary Lifestyle, and other benefits and perks