Quantitative Analyst SETA Ventus Solutions - 5.0 Arlington, VA Job Details Full-time 6 hours ago Benefits Health insurance Dental insurance Paid time off Vision insurance Employee stock ownership plan Retirement plan Qualifications Data Integration (Data management) Presentation software Special Access Program Collaborating with government agencies DoD experience Econometric analysis Data Architecture Design (Architecture design skills) All-source intelligence Presentation creation Intelligence community Technical architecture Graph databases Data analysis software Full Job Description 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. In addition to providing opportunities to thrive, we offer competitive salaries and comprehensive benefits to attract and retain top talent ready to make a meaningful impact. As part of the Ventus Solutions team, you'll collaborate with government and industry leaders to develop constructive architecture models that inform decision-making at the highest levels of the Department of Defense. 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. 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.

Work Location:

Onsite:

Arlington, VA Travel :

Up to 15%

Clearance:

U.S. Citizenship required, Active TS w/SCI eligibility Clearance required, Active SAP Clearance preferred.

Pre-Requisites:

Experience working at TS/SCI and SAP levels.

Required Experience :

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.

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. The expected salary range for this position is $150 ,000 - $195 ,00. 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. In addition to base pay, Ventus offers a comprehensive benefits package that includes healthcare benefits (medical, dental, and vision), ESOP participation, retirement plans, and generous paid time off.