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Phd In Econometrics Jobs in Washington (NOW HIRING)

ECS

Quantitative Analyst SETA - STO

Arlington, VA · On-site

$150K - $195K/yr

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 ...

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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

Manager, Economic Services - Data Science

KPMG US

Mclean, VA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
KPMG US is one of the world's top professional services firms, currently seeking a Manager in Economic Services specializing in Data Science. The role involves creating econometric analysis and machine learning models for clients, building AI applications, and maintaining tools and solutions that enhance software development and model deployment.
Responsibilities:
• Create econometric analysis, machine learning and deep learning models on economic, regulatory and policy issues of significance to a range of clients in the public and private sector
• Build LLM-powered applications and contribute to Agentic AI system Design for complex tasks
• Design, build, and productionize Retrieval-Augmented Generation (RAG) systems, including document ingestion, embedding pipelines, vector search, and LLM orchestration
• Contribute to and maintain a repository of internal tools and client-facing solutions, showcasing best practices in software development and model deployment
• Develop and document prototypes and production-level code for a variety of AI and machine learning applications; develop proof of concept, prototype, and minimum viable products
• Craft rigorous, insightful narratives on the issues under analysis and translate these into informative professional reports, dashboards, and visualizations that are accessible to technical and non-technical audience
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum of five years of recent experience with advisory related projects within a quantitative analysis firm, consulting firm, or background in a scientific laboratory
• PhD in the areas of Computer Science, Mathematics, Mathematical Statistics, Electrical Engineering is required
• A portfolio of projects (such as via GitHub, personal website, or other platforms) that demonstrates expertise in building and deploying AI/ML models and NLP solutions
• Experience building data science or LLM-based products, with a demonstrable track record of your personal contributions to the codebase
• Demonstrated experience in the development, application and interpretation of complex economic and statistical modeling frameworks using Python or R
• Strong written and verbal communication skills, excellent research skills, and the ability to work well both autonomously and in a team environment
• Applicants must be authorized to work in the US without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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