Everforth ECS is seeking a Quantitative Analyst to work on-site in Arlington. VA.
The successful candidate will serve as a Quantitative Analyst SETA supporting 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.
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.
Salary Range: $150,000-$195,000 (actual compensation depends on overall experience)
General Description of Benefits
Preferred Qualifications- Must be a U.S. citizen with an active Top-Secret clearance, with Sensitive Compartmented Information (SCI) eligibility, is required.
- 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.
- Experience with economic data is required
- Experience with network analysis is required
- Understanding of regression analysis and causality analysis
- 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.
- Work on-site at DARPA HQ (Arlington, VA) daily.
- Travel to support program operations up to 15% duty factor.
Skills Required
- U.S. citizen with active Top-Secret clearance and SCI eligibility
- 5+ years relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering
- 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 libraries, graph databases, network science frameworks)
- Strong background working within or alongside the U.S. Intelligence Community and familiarity with IC mission environments and data workflows
- Understanding of global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT data sources
- Strong written and oral communication skills, including executive PowerPoint briefs
- Work on-site at DARPA HQ (Arlington, VA) daily
- Travel to support program operations up to 15%
- Master's degree or PhD in Economics, Data Science, Applied Mathematics, or related quantitative field
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
