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Lead Quantitative Modeler
- Fannie Mae (Reston, VA)
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Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
Job Description
As a valued colleague on our team, you will 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:
* Evaluate proprietary and third-party modeling of economic drivers, financial instrument cash flow projections, the analytical systems and the input data used by those models to generate market risk sensitivity measurements. Leverage those evaluations to understand the differences between proprietary and third-party models/systems and identify potential enhancements to the proprietary models.
* Conduct ad-hoc analysis on new mortgage market trends and their impact on modeling mortgage instrument cash flows.
* Apply advanced skill, knowledge, and/or experience in translating complex business requirements into new proprietary modeling requirements for both economic driver models and financial instrument cash flow models, and into new implementation requirements for the analytics systems that rely on those models to generate measures of market risk exposure for a portfolio of financial instruments.
* Generate user acceptance test analysis results before proposed enhancements to the portfolio market risk exposure measurement process are adopted, to ensure they meet business needs. Make recommendation to business users on whether to adopt or not to adopt such enhancements.
* Communicate technical subject matter clearly and concisely to department leadership and teams.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Experiences*
* 4 years’ experience
* Bachelor’s degree
*Desired Experiences*
* Bachelor degree or equivalent
* Bachelor’s degree with 6 years or Master’s degree with 4 years or equivalent experience in quantitative sciences such as Physics, Applied Mathematics, Statistics, Economics, Finance, Computer Science, Engineering
* Experience working as a Lead Analyst
* Experience working with various stakeholders across Finance, Capital Markets and other lines of business
* Experience developing solutions to customer needs and having trade-off discussions with customers
* Proactive, creative problem solver with strong analytical skills. Must be able to define problem space as well as potential solutions
* Demonstrated strong analytical and problem-solving skills to conduct analysis independently to address complex economic or business problems
* Experience working with financial data, analytics and cashflows applications
* Experience interpreting the results of econometric modeling and statistical analysis
* Programming experience in coding and debugging custom SAS or Python scripts used for ad-hoc analysis of large datasets
* Proficiency in Unix/Linux environment
* Proficiency in SQL, relational and noSQL databases, query optimization and data modeling
* Embraces new technologies, enjoys finding opportunities for making existing systems and processes more efficient and seizing those opportunities
Enterprise Analytics and Modeling - Quantitative Modeling - Lead Associate
Target Pay Range: $138,000 - $180,000 a year
\#LI-Hybrid #LI-ME1
Qualifications
Education:
Bachelor's Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. 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 .
Requisition compensation:
138000
to
180000
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].
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