Quantitative Analyst SETA - STO

ECS; Arlington (VA); On-site; USD 150,000 - 195,000; Full time

Job summary

Everforth ECS is seeking a Quantitative Analyst to work on-site in Arlington, VA, supporting DARPA program managers in the development and scaling of complex adaptive system modelling and data-intensive analytical capabilities.

The role involves integrating multi-source intelligence with graph-based networks to support strategic competition analysis, industrial base resilience, and national security decision-making.

Qualifications

• US citizen with active Top-Secret clearance and SCI eligibility.
• Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or related field.
• 5+ years in quantitative economic modeling, econometrics, and network data science.
• Experience with large-scale data processing and multi-source data pipelines.
• Practical experience with graph analytics, network modeling tools, and related libraries.
• Strong background with U.S. Intelligence Community environments and data workflows.
• Ability to translate complex models for senior defense stakeholders.
• On-site work at DARPA HQ in Arlington, VA daily.
• Willingness to travel up to 15% for program operations.

Responsibilities

• Oversee design, evaluation, and application of quantitative models and graph-based data integration architectures.
• Oversee integration of multi-source intelligence and datasets into scalable analytical pipelines.
• Serve as technical liaison between academic researchers, software teams, and IC stakeholders.
• Advise DARPA leadership on execution risks, data architecture, and transition strategy.
• Prepare documentation, roadmaps, and executive briefs communicating progress and findings.

Skills

Top-Secret clearance

Government/IC experience

Quantitative economics

Econometrics

Education

Master’s or PhD in Economics/Data Science/Math

Tools

Python

R

Graph databases

Job description

Job Description

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

Required Skills

• 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.


• 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.

Desired Skills

• 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 modelling, 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 environment such as systematic investing or trading, real time ad technology development or pharmacological optimisation and customisation.


• Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.

#EverforthECS1

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We Value

• Attracting and developing top talent and high-performing teams


• Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!