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Quantitative Modeling Jobs in Washington, DC (NOW HIRING)

Our goal is to develop and apply all quantitative models and advanced data science tools to facilitate Multifamily risk management and optimize portfolio strategies. Our team is also responsible for ...

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 ...

Showing results 21-40

Quantitative Modeling information

See Washington, DC salary details

$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 - Complex Adaptive Systems with Security Clearance

INCA Engineering

Arlington, VA • On-site

Other

Medical, Retirement, PTO

Posted 7 days ago


Job description

Quantitative Analyst - Complex Adaptive Systems Job Description INCA Engineering is seeking a Quantitative Analyst to support DARPA program managers in the development, integration, and scaling of complex adaptive systems modeling and data-intensive analytical capabilities. This role will work with complex, multi-source intelligence, commercial, and open-source data and help integrate those sources into graph-based and network analytical frameworks supporting strategic competition analysis, industrial base resilience, and national security decision-making. The successful candidate will bring strong quantitative modeling and data science experience together with an understanding of Intelligence Community mission environments. We are looking for someone who can work across economics, data engineering, software development, and intelligence analysis while translating complex analytical approaches and findings for senior defense stakeholders. This is a 100% onsite position in Arlington, VA, with up to 15% travel. Key Responsibilities * Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures. * Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines. * Serve as the primary technical liaison among academic researchers, software engineering teams, and Intelligence Community stakeholders to ensure analytical tools align with operational requirements. * Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy. * Develop technical documentation, program roadmaps, executive briefings, and analytical products to communicate program progress and findings to senior decision-makers. Basic Qualifications * 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 or data engineering applied to complex adaptive systems. * Experience with large-scale data processing, multi-source data pipeline integration, and structured and unstructured data architectures. * Practical experience with graph analytics, network modeling tools, and interconnected data architectures, including tools such as Python or R quantitative libraries, graph databases, or network science frameworks. * Experience 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 the ability to develop executive PowerPoint briefings and explain complex econometric and data models to senior defense stakeholders. * Active Top Secret clearance with eligibility for SCI access. Preferred Experience * Active Special Access Program (SAP) eligibility and experience working at TS/SCI and SAP levels. * 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 research pipelines. * 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. Location: Arlington, VA Work Arrangement: 100% onsite
Travel: Up to 15% #CJ INCA Engineering is a small business providing research and technology development solutions that deliver positive impact on our world through creative innovation. Since 2008, we have combined a passion for our work with deep technical expertise to tackle our clients' greatest challenges. INCA Engineering offers an excellent benefits package, professional development, and fosters a highly skilled workforce while maintaining a healthy work-life balance. Benefits include paid personal time off, medical Insurance and 401k plan with employer matching. INCA Engineering is an equal opportunity employer that values diversity at all levels. (EOE - Minorities/Females/ Protected Veterans Status/Disability Status/Sexual Orientation/Gender Identity) Create a Job Alert Interested in building your career at INCA Engineering? Get future opportunities sent straight to your email. Create alert