Lead Quantitative Modeler

Summary

Join Fannie Mae and become a Lead Quantitative Modeler - Credit Risk, leading teams in innovative solutions for mortgage finance. You will conduct research using public and proprietary data, coach and mentor team members, and apply advanced skills in modeling and analysis. This role requires experience in quantitative finance, econometrics, or related fields, proficiency in Python and SQL, and a Bachelor's degree. Desired qualifications include an advanced degree and in-depth mortgage industry knowledge. Fannie Mae offers a comprehensive benefits package, including health, life, and other benefits, and an incentive program.

Requirements

• 4 years of research or industry experience in quantitative finance, econometric modeling, economics, credit risk modeling or big data analytics using Python and SQL
• Bachelor degree or equivalent

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

• Advanced Degree in Data Science, Economics, Math, Statistics, or a related field
• In-depth knowledge of the mortgage industry and MBS market
• Hands-on experience building MBS prepayment models for pricing MBS and calculating risk analytics
• Proficient in Python and skilled in AWS tools
• Strong business acumen with the ability to digest complex issues and communicate in a concise manner to influence desired outcomes
• Excellent communication skills with proven ability to explain complex models to business users and stakeholders
• Experience mentoring and leading junior analysts and quantitative modelers

Benefits

• 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
• This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program)