Quantitative Analyst SETA - STO

Quantitative Analyst Position

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

• 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 skillsboth written (including executive PowerPoint briefs) and oralwith 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.