Quantitative Analyst SETA

Ventus Executive Solutions is a dynamic small business at the forefront of innovation and consulting. We believe our employees’ success is integral to our mission, which is why we prioritize work-life balance, personal development, and fostering a sense of belonging. As an Employee Stock Ownership Plan (ESOP), we value curiosity, collaboration, and excellence, and we’re committed to supporting your professional growth through mentorship, career development, and a culture of continuous learning. Join a team where your ideas matter, your expertise drives impact, and your work advances the mission.

About the role

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.

Work Location: Onsite: Arlington, VA
Travel: Up to 15%
Clearance: U.S. Citizenship required, Active TS w/SCI eligibility required, Active SAP Clearance preferred.

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.
• Experience working at TS/SCI and SAP levels.

Desired Experience

• 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.

Pay

The expected salary range for this position is $150,000 - $195,000. This range represents a good-faith estimate and is not a guarantee; final compensation is determined by factors such as experience, qualifications, and government contract labor rate requirements and may fall outside the stated range.

Benefits

• Healthcare benefits (medical, dental, and vision).
• ESOP participation.
• Retirement plans.
• Generous paid time off.