Lead Quantitative Analyst, Complex Adaptive Systems

INCA Engineering; Arlington (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Benefits package

Paid time off

Medical insurance

401k with employer matching

Job summary

INCA Engineering in Arlington, VA seeks a Quantitative Analyst to support DARPA program managers in developing, integrating, and scaling complex adaptive systems modeling and data-intensive analytical capabilities.

The role combines economics, data science, network analysis, and software engineering to build scalable pipelines from multi-source data and deliver executive briefings for senior defense stakeholders.

Qualifications

• Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or related quantitative field.
• 5+ years of experience in quantitative economic modeling, econometrics, and network data science or data engineering.
• Experience with large-scale data processing, multi-source data pipelines, and graph analytics.

Responsibilities

• Oversee design, evaluation, and application of quantitative models and graph-based data integration architectures.
• Integrate multi-source intelligence and economic datasets into scalable analytical pipelines.
• Serve as technical liaison among researchers, software teams, and stakeholders to ensure alignment with operational requirements.
• Advise leadership on program execution risks, data architecture, and transition strategy.
• Create documentation, roadmaps, and executive briefings to communicate progress to senior decision-makers.

Skills

Quantitative modeling

Econometrics

Data science

Network data science

Data engineering

Python/R

Graph analytics

Executive communication

Security clearance

Education

Master’s or PhD in Economics/Data Science/Applied Mathematics

Tools

Graph databases

Python

R

Job description

INCA Engineering in Arlington, VA seeks a Quantitative Analyst to support DARPA program managers in developing, integrating, and scaling complex adaptive systems modeling and data-intensive analytical capabilities.

The role combines economics, data science, network analysis, and software engineering to build scalable pipelines from multi-source data and deliver executive briefings for senior defense stakeholders.