Quantitative Analyst

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. 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. Work on-site at DARPA HQ (Arlington, VA) daily. Travel to support program operations up to 15% duty factor. #J-18808-Ljbffr