SETA - Complex Adaptive Systems

Oak Leaf Solutions Llc; Arlington, Northern (VA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Oak Leaf Solutions Llc in Arlington, VA seeks a Quantitative Analyst SETA to support complex adaptive systems modelling and data-intensive analytical capabilities for national security programs.

You will integrate multi-source intelligence and commercial/open-source data streams into graph-based, network analysis frameworks to support strategic competition analysis and defense decision-making.

Qualifications

• 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, econometrics, and network data science/data engineering for complex adaptive systems.
• Experience with large-scale data processing, multi-source data pipeline integration, and data architectures.
• Proficiency with graph analytics, network modeling tools, and relevant libraries (Python/R).
• Experience in the U.S. Intelligence Community environments and data workflows.

Responsibilities

• Oversee design, evaluation, and application of quantitative economic models and graph-based data integration.
• Integrate multi-source intelligence and economic datasets into scalable analytical pipelines.
• Serve as technical liaison between researchers, software engineers, and IC stakeholders.
• Advise leadership on risks, scalability, and capability transition strategy.
• Prepare technical documentation and executive briefs for senior decision-makers.

Skills

Quantitative modeling

Econometrics

Network data science

Data processing

Graph analytics

Python

R

Graph databases

Data pipelines

Executive communication

Education

Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or related quantitative field

Tools

Python

R

Graph databases

Network analysis tools

Data pipelines

Job description

Complex Adaptive Systems:

Clearance: TS with SCI eligibility. Active SAP eligibility preferred.

Location: Arlington, VA

Salary: Based on experience

The successful candidate will serve as a Quantitative Analyst SETA supporting a government program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities. This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making.

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 in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures
• Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks)
• Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets
• Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources
• Strong communication skills both written (including executive PowerPoint briefs) and oral with the ability to translate complex econometric and data models for senior defense stakeholders

Preferred:

• Active Special Access Program (SAP) access and experience working at TS/SCI and SAP levels
• 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 background supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations
• Experience in high paced private sector quantitative production environment such as systematic investing or trading, real time ad 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

Responsibilities:

• Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures
• Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines
• Serve as primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements
• Advise leadership on program execution risks, data architecture scalability, and capability transition strategy
• Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers