Regional Research Economist, Economic Research London, UK

Regional Research Economist, Economic Research

London, UK

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally‑relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and broaden access to the insights generated by the Index. Frontier methods in econometrics, machine learning, and structural estimation will drive impact, shaping policy discussions externally and informing Anthropic’s internal business and product decisions.

Key Responsibilities

• Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
• Advance research collaborations that answer country‑or‑regional‑specific economic impact questions
• Translate research insights into actionable recommendations for policy discussions
• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including country/regional‑specific analysis
• Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
• Develop new methodological approaches for studying AI's impact on labor markets, the future of work, productivity and task transformation, economic inequality and displacement, industry‑specific disruption and adaptation, and aggregate economic trajectories under varying AI‑adoption scenarios
• Work cross‑functionally with other technical teams to improve our measurement infrastructure and data collection
• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

Qualifications

• PhD in Economics
• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning
• Demonstrated experience working in and relevant relationships across the region
• Experience relevant to the study of AI’s impact on the economy, including labor market analysis, occupational change, task‑based approaches to technological transformation, large‑scale data analysis, econometric methods, large language models for social science research, causal inference, macroeconomic modeling, time series forecasting, agent‑based modeling, or large‑scale simulation
• Technical skills: proficiency in Python, R, SQL, or similar tools for large‑scale data analysis, experience working with novel datasets and measurement systems, comfort learning new technical tools and frameworks
• Demonstrated ability to lead complex research projects from conception to publication, communicate technical findings to diverse audiences, build relationships across academic, policy, and industry communities, and ensure AI development benefits humanity
• Comfort working with AI systems and ability to think critically about their capabilities and limitations

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas, but may not be able to sponsor every role.

Compensation

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Benefits

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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