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Phd In Econometrics Jobs in Virginia (NOW HIRING)

Capital One

Principal Quantitative Modeler

Mclean, VA · On-site

$55.25 - $71.75/hr

A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) * At least 3 years of experience in each of the ...

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Phd In Econometrics information

What is a PhD in Econometrics?

A PhD in Econometrics is an advanced academic degree focused on the application of statistical and mathematical methods to economic data. It prepares students to conduct original research, develop new econometric models, and analyze complex economic problems using quantitative techniques. Graduates often pursue careers in academia, research institutions, government agencies, or the private sector, where advanced data analysis and economic modeling skills are in high demand.

What are some common career paths for someone with a PhD in Econometrics?

With a PhD in Econometrics, graduates often pursue careers in academia as professors or researchers, but there are also numerous opportunities in the private and public sectors. Many work as quantitative analysts, data scientists, or policy advisors in financial institutions, government agencies, international organizations, or consulting firms. The advanced analytical and statistical skills developed during the PhD are highly valued in roles that involve complex data analysis, economic modeling, and policy evaluation. Collaboration with interdisciplinary teams, including economists, data engineers, and policymakers, is common, providing a dynamic work environment and pathways for professional growth.

What are the key skills and qualifications needed to thrive as a PhD in Econometrics, and why are they important?

To thrive as a PhD in Econometrics, you need advanced expertise in statistical theory, econometric modeling, and data analysis, typically supported by a doctoral degree in economics or a related field. Proficiency in statistical software such as Stata, R, Python, or SAS, as well as experience with large datasets and econometric methodologies, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you convey complex findings to diverse audiences. These skills are crucial for producing rigorous research, informing policy, and contributing valuable insights in academic, governmental, or industry settings.

How much does a PhD in Econometrics make?

A PhD in Econometrics typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Econometricians working in finance, consulting, or academia often have higher earning potential, especially with strong quantitative and programming skills.

Is a PhD in econometrics worth it?

A PhD in econometrics prepares individuals for advanced research, academic positions, and data analysis roles in finance, government, and consulting. It typically involves rigorous coursework and research, leading to higher-level job opportunities and increased earning potential, but requires significant time and effort investment. The value depends on career goals and the demand for specialized quantitative skills.

What can I do with a PhD in econometrics?

A PhD in econometrics prepares individuals for research, analysis, and data-driven roles in academia, government agencies, financial institutions, and consulting firms. Graduates often work as economic analysts, quantitative researchers, policy advisors, or data scientists, utilizing statistical software and advanced modeling techniques. These roles require strong analytical skills and knowledge of econometric methods to inform decision-making and policy development.

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Phd In Econometrics jobs near you

Technical Quantitative Analyst

Systems Planning and Analysis

Arlington, VA • On-site

Full-time

Medical, Life, Retirement

Re-posted 13 days ago

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.

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