Quantitative Analyst SETA

Ventus Solutions•Arlington, VA

6d•Onsite

About The Position

Ventus Executive Solutions is seeking a skilled Quantitative Analyst SETA to support an innovative program office. You will integrate complex, multi-source intelligence and commercial/open-source data streams into graph-based and network analytical frameworks supporting strategic competition analysis, industrial base resilience, and national security decision-making. The position provides an opportunity to work at the intersection of quantitative economic modeling, data science, network analytics, intelligence analysis, and emerging technology. Join our innovative team and contribute to impactful national security initiatives.

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 with large-scale data processing, multi-source data pipeline integration, and structured/unstructured data architectures.
Practical experience with graph analytics, network modeling tools, and interconnected data architectures, including Python/R quantitative libraries, graph databases, or network science frameworks.
Strong background working within or alongside the U.S. Intelligence Community, including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
Understanding of diverse data sources spanning global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
Strong written and oral communication skills, including executive-level PowerPoint briefings, with the ability to translate complex econometric and data models for senior defense stakeholders.
U.S. Citizenship required.
Active TS w/SCI eligibility Clearance required.

Nice To Haves

Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, 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 experience supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
Experience in a high-paced private-sector quantitative production environment, such as systematic investing or trading, real-time advertising technology development, or pharmacological optimization and customization.
Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.
Active SAP C learance preferred.
Experience working at TS/SCI and SAP levels.

Responsibilities

Integrate complex, multi-source intelligence and commercial/open-source data streams into graph-based and network analytical frameworks supporting strategic competition analysis, industrial base resilience, and national security decision-making.
Work at the intersection of quantitative economic modeling, data science, network analytics, intelligence analysis, and emerging technology.
Contribute to impactful national security initiatives.