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Quantitative Modeling Jobs in Washington (NOW HIRING)

We are seeking a highly skilled Quantitative Analyst and Tester to join the Financial and IT Modeling & Analytics team. This role will support capital markets trading and market risk management by ...

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Quantitative Modeling information

See Washington salary details

$111K

$192.2K

$293.9K

How much do quantitative modeling jobs pay per year?

As of Aug 4, 2026, the average yearly pay for quantitative modeling in Washington is $192,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $225,400.00 per year, depending on experience, location, and employer.

What are typical daily tasks and projects for someone in a quantitative modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What is a quantitative modeling?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are the key skills and qualifications needed to thrive in the quantitative modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What are the most commonly searched types of Quantitative Modeling jobs in Washington? The most popular types of Quantitative Modeling jobs in Washington are:
What job categories do people searching Quantitative Modeling jobs in Washington look for? The top searched job categories for Quantitative Modeling jobs in Washington are:
Infographic showing various Quantitative Modeling job openings in Washington as of July 2026, with employment types broken down into 65% Full Time, 17% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $192,234 per year, or $92.4 per hour.

Quantitative Modeling -Interest Rate Derivatives- Manager

Fannie Mae

Washington, DC • On-site, Remote

$155K - $209K/yr

Full-time

Medical, Life

Posted 7 days ago


Fannie Mae rating

9.0

Company rating: 9.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


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 Description

As 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 MAKE

The 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 TEAM

Minimum Required Experiences:

  • 6 years of related industry experience

  • Demonstrated experience in leading a project and/or mentoring junior team members

  • Experienced in developing financial models and preparing interest rate and derivatives data using Python and/or SQL

  • Master’s degree in a highly quantitative field, such as quantitative finance/financial engineering, mathematics, statistics and physics

  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work

Desired Experiences:

  • Ph.D degree in a highly quantitative field, such as quantitative finance/financial engineering, mathematics, statistics and physics

  • Experience in main industry analytics platforms such as YieldBook, Bloomberg and/or BlackRock

  • Demonstrated experience in interest rate derivatives valuation, future potential exposure (PFE) and hedge accounting

Enterprise Modeling and Analytics - Quantitative Modeling - Manager

Target Pay Range: $155,000 - $209,000 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:

155000

to

209000

What Fannie Mae employees say

Pay

Hours and flexibility

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