Quantitative Modeler Advisor

Summary

Join Fannie Mae and contribute your extensive knowledge of quantitative modeling and multifamily mortgage finance to a team focused on innovative solutions. As an Advisor Quantitative Modeler - Multifamily, you will recommend improved methods and techniques, utilize advanced data mining, counsel teams on company policies, inform technical direction for model validation, and communicate technical findings effectively. This role requires 6 years of experience developing quantitative models and programming in Python or R. A bachelor's degree in a related field is desired, along with experience in macroeconomic forecasting and multifamily real estate valuation. Fannie Mae offers a competitive salary and a comprehensive benefits package.

Requirements

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

Responsibilities

• 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

Preferred Qualifications

• Bachelor degree or equivalent in Economics, Math, Statistics, Data Science or a related field
• Experiences with developing macroeconomic forecast models
• Experiences with forecasting multifamily or similar commercial real estate property value and NOI
• Demonstrated ability to lead a team, manage research tasks and timeline, and communicate technical subject to business users

Benefits

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