Quantitative Analyst, SETA – National Security Data Science

Ventus Solutions; Arlington, Northern (VA, KY); Hybrid; USD 150,000 - 195,000; Full time

Benefits offered by this job

ESOP

Healthcare benefits

Retirement plans

Paid time off

Job summary

Ventus Executive Solutions seeks a skilled Quantitative Analyst SETA based in Arlington, VA, onsite, to support an innovative program office. You will integrate multi-source intelligence and data streams into graph-based and network analytical frameworks for strategic competition analysis and national security decision-making.

Required: advanced degree in a quantitative field and 5+ years in econometrics, network data science, and data engineering, with experience in IC environments.

Qualifications

• Master’s degree or PhD in Economics, Data Science, Applied Mathematics or related field.
• 5+ years of quantitative economic modeling, econometrics, and network data science experience.
• Experience with large-scale data processing and multi-source data pipelines.
• Familiarity with graph analytics and Python/R libraries.
• Strong communication skills with executive audiences.

Responsibilities

• Integrate multi-source intelligence and data streams into graph-based frameworks for national security decision-making.
• Support program office with quantitative economic modeling and analysis.
• Translate complex models for senior defense stakeholders.

Skills

Econometrics modeling

Graph analytics

Python/R

Data engineering

IC familiarity

Education

Master's/PhD in Economics/Data Science/Applied Mathematics

Tools

Graph databases

Large-scale data processing

Job description

Ventus Executive Solutions seeks a skilled Quantitative Analyst SETA based in Arlington, VA, onsite, to support an innovative program office. You will integrate multi-source intelligence and data streams into graph-based and network analytical frameworks for strategic competition analysis and national security decision-making.

Required: advanced degree in a quantitative field and 5+ years in econometrics, network data science, and data engineering, with experience in IC environments.