Lead Quantitative Modeler

Job Description

As a valued colleague on our team you will be responsible for leveraging expertise in economics statistics (with a focus on time-series modeling) and advanced machine learning techniques (including reinforcement learning) to develop predictive models optimize risk management strategies and drive actionable insights. You will also act as team lead while 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. Additionally you will coach and mentor team members.

THE IMPACT YOU WILL MAKE
The Lead Quantitative Modeler 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:

• Lead the development and implementation of loan performance modeling frameworks methodologies and algorithms to predict borrower behavior loan defaults prepayments and delinquencies.
• Conduct in-depth analysis of economic indicators market trends and macroeconomic factors to inform modeling assumptions parameter estimates and scenario analysis.
• Design and implement statistical models and time series forecasting techniques to analyze historical loan performance data identify patterns and forecast future trends.
• Apply advanced machine learning algorithms including reinforcement learning techniques to optimize risk management strategies automate decision-making processes and improve model performance.
• Collaborate closely with cross-functional teams including data scientists economists risk managers and business stakeholders to gather requirements define project scope and drive model development efforts.
• Develop and maintain documentation code repositories and model validation reports in compliance with regulatory requirements and internal policies.
• Stay current with emerging trends methodologies and best practices in quantitative finance econometrics statistics and machine learning and apply them to enhance modeling capabilities and stay ahead of the curve.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Requirements:

• 4 years of proven experience in developing and implementing predictive models.
• Bachelor’s degree in economics Statistics Computer Science or a related quantitative field.

Desired Experiences:

• Advanced degree in Economics Statistics Computer Science or a related quantitative field.
• Experience with time series analysis techniques and advanced machine learning algorithms in a quantitative finance or risk management environment.
• Proficiency in programming languages such as Python or R and experience with relevant libraries and frameworks (e.g. TensorFlow PyTorch scikit-learn).
• Strong understanding of econometric principles statistical methodologies and quantitative modeling techniques with a focus on time series analysis stochastic processes and Bayesian inference.
• Experience with loan performance modeling credit risk assessment and portfolio optimization in the financial services industry is highly desirable.
• Excellent analytical problem-solving and communication skills with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
• Proven ability to work collaboratively in a cross-functional team environment manage multiple projects simultaneously and deliver high-quality results under tight deadlines.

Additional Information

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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 [email protected]. #LI-ME1

The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to skill set depth of experience certifications and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package 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. See more here.