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Open nowFirst seen 3 hours ago

Quantitative Analyst SETA - STO

ECS FEDERAL LLC258 open roles

Where
Arlington, VA, USA
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Your applicationOpen nowQuantitative Analyst SETA - STOECS FEDERAL LLC · Arlington, VA, USA

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This job: first seen 3 hours ago

The posting

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 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.
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