TS/SCI Quantitative Analyst - Complex Adaptive Systems

Oak Leaf Solutions; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Complex Adaptive Systems in Arlington, VA is seeking a Quantitative Analyst SETA to support government program managers in modelling and data-intensive capabilities. You will integrate multi-source intelligence and commercial/open-source data streams into graph-based and network analytical frameworks to inform strategic competition analysis and national security decisions.

The role requires a strong background in econometrics, graph analytics, data engineering, and experience with IC datasets;

Qualifications

• Master's degree or PhD in a quantitative field required.
• 5+ years in quantitative economic modeling and econometrics.
• Experience with large-scale data processing and data pipelines.
• Experience with graph analytics and network modeling.
• Familiarity with IC mission environments and datasets.
• Strong written and oral communication for senior stakeholders.

Responsibilities

• Oversee design, evaluation, and application of quantitative economic models.
• Oversee integration of multi-source datasets into analytical pipelines.
• Serve as technical liaison between researchers, software teams, and IC stakeholders.
• Advise leadership on execution risks and data architecture scalability.
• Prepare documentation and executive briefs for progress and findings.

Skills

Quantitative modeling

Econometrics

Network data science

Graph analytics

Data engineering

Python/R

Executive communication

Education

Masters or PhD in a quantitative field

Tools

Graph databases

Network science frameworks

Python libraries

R libraries

Data pipelines

Job description

Complex Adaptive Systems in Arlington, VA is seeking a Quantitative Analyst SETA to support government program managers in modelling and data-intensive capabilities. You will integrate multi-source intelligence and commercial/open-source data streams into graph-based and network analytical frameworks to inform strategic competition analysis and national security decisions.

The role requires a strong background in econometrics, graph analytics, data engineering, and experience with IC datasets;