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Senior Quantitative Analyst Jobs in Virginia (NOW HIRING)

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

Freddie Mac's Investments & Capital Markets Division is currently seeking a Quantitative Analytics Senior to be responsible for the creation, development, and execution of analytic models used to ...

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

As a dedicated Decision Science Analyst Senior, you will Provide decision support for business ... Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make ...

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... In order to do this job well, you must be analytical, understand people, have a strong drive to use ...

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... In order to do this job well, you must be analytical, understand people, have a strong drive to use ...

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... In order to do this job well, you must be analytical, understand people, have a strong drive to use ...

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Senior Quantitative Analyst information

See Virginia salary details

$53K

$108.9K

$141.3K

How much do senior quantitative analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior quantitative analyst in Virginia is $108,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a senior quantitative analyst?

Senior Quantitative Analysts are professionals who use advanced mathematical, statistical, and computational techniques to analyze financial data and develop quantitative models. They typically work in finance, investment banks, hedge funds, or risk management departments to help organizations make informed decisions, manage risk, or optimize investment strategies. Senior Quantitative Analysts often lead teams, oversee model development, and ensure the accuracy and robustness of analytical methodologies. Their work is critical in pricing securities, developing trading algorithms, and supporting data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior quantitative analyst?

To thrive as a Senior Quantitative Analyst, you need advanced expertise in statistics, mathematics, financial modeling, and a relevant degree such as in mathematics, finance, or engineering. Proficiency in programming languages (such as Python, R, or MATLAB), data analysis platforms, and familiarity with risk modeling systems or financial databases is typically required. Exceptional analytical thinking, problem-solving abilities, and strong communication skills distinguish top performers in this field. These skills enable accurate quantitative research, effective risk assessment, and clear presentation of complex findings to support strategic decision-making.

What are some common challenges faced by senior quantitative analysts when working on cross-functional teams?

Senior Quantitative Analysts often collaborate with professionals from diverse backgrounds, such as software engineers, risk managers, and business strategists. A common challenge is effectively communicating complex quantitative findings to non-technical stakeholders and ensuring alignment on project goals. Adapting technical models to fit business constraints and integrating feedback from multiple departments also requires flexibility and strong interpersonal skills. Overcoming these challenges not only enhances project outcomes but also helps build valuable relationships across the organization.

What is the difference between Senior Quantitative Analyst vs Quantitative Analyst?

AspectSenior Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's/Master's in Finance, Math, or related; often more experienceBachelor's or higher in similar fields
Work EnvironmentMore complex projects, mentorship roles, strategic decision-makingData analysis, model development, supporting senior staff
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management, trading firms

The main difference between a Senior Quantitative Analyst and a Quantitative Analyst lies in experience, project complexity, and responsibilities. Senior roles typically involve leading projects, mentoring juniors, and strategic input, while Quantitative Analysts focus on data analysis and model development under supervision.

What are the most commonly searched types of Quantitative Analyst jobs in Virginia?

The most popular types of Quantitative Analyst jobs in Virginia are:

What are popular job titles related to Senior Quantitative Analyst jobs in Virginia?

For Senior Quantitative Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Quantitative Analyst jobs in Virginia look for?

The top searched job categories for Senior Quantitative Analyst jobs in Virginia are:

What cities in Virginia are hiring for Senior Quantitative Analyst jobs?

Cities in Virginia with the most Senior Quantitative Analyst job openings:

Infographic showing various Senior Quantitative Analyst job openings in Virginia as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $108,904 per year, or $52.4 per hour.

Quantitative Analyst SETA

Ventus Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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.