Technical Quantitative Analyst

CareerArc; Arlington (VA); On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

On-site parking

Job summary

Systems Planning and Analysis, Inc. (SPA) seeks a Quantitative Analyst SETA to support DARPA program managers in Arlington, VA.

This onsite role involves integrating multi-source data into graph-based analyses to inform strategic competition and national security decisions. Candidates should hold a Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or related field and have TS/SCI clearance, 5+ years in quantitative modeling, econometrics, and data engineering.

Qualifications

• Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field
• Active TS/SCI clearance
• 5+ years of quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems
• Experience in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures
• 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 with the U.S. Intelligence Community (IC) and familiarity with IC mission environments, data workflows, and intelligence-derived datasets
• Willingness to work onsite based on client needs and travel up to 15%

Responsibilities

• Serve as a Quantitative Analyst SETA supporting DARPA program managers in developing, integrating, and scaling complex adaptive system modelling and data-intensive analytical capabilities
• Integrate multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis and national security decision-making
• Act as liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements
• Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy

Skills

Quantitative econ

Advanced econometrics

Network data science

Data engineering

Python/R

IC experience

On-site work

Travel 15%

Education

MS/PhD in Economics/Data Science/Applied Math

Tools

Graph databases

Network/graph libraries

Graph analytics

Job description

Overview

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth,we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.

The Joint, Office of the Secretary of Defense, Interagency Division provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.

SPA provides critical decision support to enabling and executing a strategy of technological superiority and enabling the delivery and sustainment of secure, resilient, and preeminent capabilities to the warfighter quickly and cost effectively. Our team of experienced military, technical, and operations research analysts is skilled in evaluating military problems, identifying the driving factors, devising innovative approaches, collecting applicable data, developing necessary software tools, and performing thorough and timely assessments to inform technology and acquisition governance decisions to ensure U.S. military forces retain military superiority in the future.

We have an immediate need for a Quantitative Analyst SETA to provide onsite support out of Arlington, VA.

Responsibilities

The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA 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. The candidate will serve as the primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements. Will also advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.

Qualifications

Required:

• Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field
• Active TS/SCI clearance
• 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
• Able to work fully onsite based on client needs
• Travel to support program operations up to 15% duty factor

Desired:

• 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
• 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
• 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

Pay Range Information

At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $160,000.00/Yr. - USD $200,000.00/Yr.

Qualifications

Required:

• Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field
• Active TS/SCI clearance
• 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
• Able to work fully onsite based on client needs
• Travel to support program operations up to 15% duty factor

Desired:

• 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
• 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
• 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

Responsibilities

The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA 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. The candidate will serve as the primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements. Will also advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.