Quantitative Modeling –Interest Rate Derivatives- Manager

Fannie Mae; Washington (District of Columbia); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Incentive program

Health and retirement benefits

Job summary

Fannie Mae is seeking a seasoned Quantitative Modeling Manager to lead a team focused on mortgage finance models, valuation, and counterparty risk for interest rate derivatives. You will guide advanced analyses, ensure robust validation, and align methodologies with policy and industry practices.

The role requires mentoring staff, applying Python/SQL, and leveraging data-driven insights to improve risk assessment and decision making.

Qualifications

• 6 years of quantitative finance experience.
• Experience leading projects and mentoring juniors.
• Proficient in Python and SQL for financial modeling.

Responsibilities

• Lead a team conducting research on mortgage finance models.
• Oversee model development, validation, and performance monitoring.
• Communicate technical results clearly to stakeholders.

Skills

Python

SQL

Data analysis

Mentoring

Project leadership

Education

Master's degree in quantitative field

PhD (preferred)

Tools

YieldBook

Bloomberg

BlackRock

Job description

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 DescriptionAs a valued leader on our team, you will manage the work of a team whose staff conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, with a focus on financial valuation and counterparty risk of interest rate derivatives as well as hedge accounting.THE IMPACT YOU WILL MAKEThe Quantitative Modeling –Interest Rate Derivatives- Manager 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:Manage the application of mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives.Oversee ad hoc quantitative analyses, modeling, or programming using Python, XML, SQL, R or SAS.Guide the effective application of data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations, as well as identify opportunities to apply quantitative methods to improve business performance.Ensure the team completes modeling projects aligned with established company policies and industry-wide modeling practices.Manage the implementation of validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes.Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.Coach team members to communicate technical subject matter clearly and concisely.THE EXPERIENCE YOU BRING TO THE TEAMMinimum Required Experiences:6 years of related industry experienceDemonstrated experience in leading a project and/or mentoring junior team membersExperienced in developing financial models and preparing interest rate and derivatives data using Python and/or SQLMaster’s degree in a highly quantitative field, such as quantitative finance/financial engineering, mathematics, statistics and physicsShows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we workDesired Experiences:Ph.D degree in a highly quantitative field, such as quantitative finance/financial engineering, mathematics, statistics and physicsExperience in main industry analytics platforms such as YieldBook, Bloomberg and/or BlackRockDemonstrated experience in interest rate derivatives valuation, future potential exposure (PFE) and hedge accountingEnterprise Modeling and Analytics - Quantitative Modeling - ManagerTarget Pay Range: $155,000 - $209,000 a year#LI-Hybrid #LI-ME1QualificationsEducation: 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: 155000to 209000