Lead Quantitative Modeler

Summary

Join Fannie Mae and contribute your expertise in quantitative modeling to the Enterprise Analytics and Modeling team. As a Lead Associate, you will lead teams in developing innovative solutions, coach team members, and apply advanced skills to modeling projects. You will contribute to validation strategies, interpret model results, and communicate findings effectively. This role requires extensive experience in quantitative modeling and programming languages like Python or R. A bachelor's degree in a related field is desired, along with experience in property valuation models and multifamily/commercial real estate. Fannie Mae offers a comprehensive benefits package, including health, life, and other benefits.

Requirements

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

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

Preferred Qualifications

• Bachelor degree or equivalent in Economics, Math, Statistics, Data Science or a related field
• Experiences with property valuation models such as repeated transaction index or AVM utilizing advanced statistical or machine learning techniques preferred
• Subject matter knowledge of multifamily or commercial real estate business line in a financial firm preferred

Benefits

• Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being
• Fannie Mae incentive program