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Senior Quantitative Analyst Jobs in Virginia (NOW HIRING)

ECS

Quantitative Analyst SETA - STO

Arlington, VA · On-site

$150K - $195K/yr

Everforth ECS is seeking a Quantitative Analyst to work on-site in Arlington. VA. The successful ... and analytical findings to senior decision-makers. Salary Range: $150,000-$195,000 (actual ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Freddie Mac's Investments & Capital Markets Division is seeking a Quantitative Analytics Senior to develop, implement, monitor, and execute quantitative models that support counterparty credit risk ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

Freddie Mac's Investments & Capital Markets Division is seeking a Quantitative Analytics Senior to develop, implement, monitor, and execute quantitative models that support counterparty credit risk ...

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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 Sep 6, 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:

Senior Quantitative Analyst jobs near you
Infographic showing various Senior Quantitative Analyst job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $108,904 per year, or $52.4 per hour.

Quantitative Analyst SETA

Blue Sky Innovators

Arlington, VA • On-site

$195K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago

Job description

Blue Sky Innovators is seeking a Quantitative Analyst SETA to join our team in Arlington, VA. The successful candidate will support DARPA program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities. This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making.

Requirements:

  • 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 in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures.
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks).
  • Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
  • Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
  • Strong communication skills-both written (including executive PowerPoint briefs) and oral-with the ability to translate complex econometric and data models for senior defense stakeholders.
  • Top Secret clearance with SCI eligibility.

Preferred:

  • Active Special Access Program (SAP) access 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 (LLM) research pipelines.
  • Prior background supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
  • Experience in high paced private sector quantitative production environments such as systematic investing or trading, real time ad 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.

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 primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements.
  • Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
  • Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers.

The salary range for this position is $195,000-$300,000, per year. Specific compensation will be determined by several factors including experience, education, skills, and knowledge. We also offer medical/dental/vision benefits and 401k contribution.

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