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Quantitative Modeling Jobs in Washington, DC (NOW HIRING)

The position provides an opportunity to work at the intersection of quantitative economic modeling ... data science, network analytics, intelligence analysis, and emerging technology. Join our ...

Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures. * Oversee the integration of complex ...

You will collaborate with team members to enhance existing trading strategies and spearhead quantitative modeling projects. This is a hybrid trader/data science position. Success in this role ...

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Quantitative Modeling information

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$111K

$192.2K

$293.8K

How much do quantitative modeling jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quantitative modeling in Washington, DC is $192,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $225,300.00 per year, depending on experience, location, and employer.

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 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 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 does a quantitative modeler do?

A quantitative modeler develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making. They use programming languages like Python or R and tools such as Excel or specialized software, often working in finance, investment, or risk management environments.

What are the most commonly searched types of Quantitative Modeling jobs in Washington, DC?

The most popular types of Quantitative Modeling jobs in Washington, DC are:

What are popular job titles related to Quantitative Modeling jobs in Washington, DC?

For Quantitative Modeling jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Quantitative Modeling jobs in Washington, DC look for?

The top searched job categories for Quantitative Modeling jobs in Washington, DC are:

Infographic showing various Quantitative Modeling job openings in Washington, DC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Hybrid job distribution, with an average salary of $192,163 per year, or $92.4 per hour.

Quantitative Analyst SETA

Ventus Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Ventus Executive Solutions is a dynamic small business at the forefront of innovation and consulting. We believe our employees’ success is integral to our mission, which is why we prioritize work-life balance, personal development, and fostering a sense of belonging. In addition to providing opportunities to thrive, we offer competitive salaries and comprehensive benefits to attract and retain top talent ready to make a meaningful impact. As part of the Ventus Solutions team, you’ll collaborate with government and industry leaders to develop constructive architecture models that inform decision-making at the highest levels of the Department of Defense. As an Employee Stock Ownership Plan (ESOP) we value curiosity, collaboration, and excellence, and we’re committed to supporting your professional growth through mentorship, career development, and a culture of continuous learning. Join a team where your ideas matter, your expertise drives impact, and your work advances the mission. 

Ventus Executive Solutions is seeking a skilled Quantitative Analyst SETA to support an innovative program office. You will integrate complex, multi-source intelligence and commercial/open-source data streams into graph-based and network analytical frameworks supporting strategic competition analysis, industrial base resilience, and national security decision-making. The position provides an opportunity to work at the intersection of quantitative economic modeling, data science, network analytics, intelligence analysis, and emerging technology. Join our innovative team and contribute to impactful national security initiatives. 

Work Location: Onsite: Arlington, VA

Travel:  Up to 15% 

Clearance: U.S. Citizenship required, Active TS w/SCI eligibility Clearance required, Active SAP Clearance preferred.


Pre-Requisites: Experience working at TS/SCI and SAP levels.

Required Experience:

  • Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field.
  • 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems.
  • Demonstrated experience with large-scale data processing, multi-source data pipeline integration, and structured/unstructured data architectures.
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures, including Python/R quantitative libraries, graph databases, or network science frameworks.
  • Strong background working within or alongside the U.S. Intelligence Community, including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
  • Understanding of diverse data sources spanning global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
  • Strong written and oral communication skills, including executive-level PowerPoint briefings, with the ability to translate complex econometric and data models for senior defense stakeholders.

Desired Experience: 

  • Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics.
  • Hands-on experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or large language model (LLM) research pipelines.
  • Prior experience supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in a high-paced private-sector quantitative production environment, such as systematic investing or trading, real-time advertising technology development, or pharmacological optimization and customization.
  • Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.

The expected salary range for this position is $150,000 - $195,00. This range represents a good-faith estimate and is not a guarantee; final compensation is determined by factors such as experience, qualifications, and government contract labor rate requirements and may fall outside the stated range. In addition to base pay, Ventus offers a comprehensive benefits package that includes healthcare benefits (medical, dental, and vision), ESOP participation, retirement plans, and generous paid time off.