Quantitative Analyst jobs in United States

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.

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry‑specific deep dives.
• Design and conduct empirical research on AI’s economic effects using novel data sources and privacy‑preserving measurement systems.
• Develop new methodological approaches for studying AI’s impact on:
  • Labor markets and the future of work
  • Productivity and task transformation
  • Economic inequality and displacement
  • Industry‑specific disruption and adaptation
• Build and maintain relationships with academic institutions, policy think tanks, and other research partners.
• Work cross‑functionally with technical teams to improve our measurement infrastructure and data collection.
• Translate research insights into actionable recommendations for both product decisions and policy discussions.
• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders.

• PhD in Economics or related field with a focus on labor economics, industrial organization, or technological change.
• Strong track record of empirical research, particularly studies combining novel data sources with economic theory or implementing frontier methods in causal inference.
• Experience with:
  • Labor market analysis and occupational change
  • Task‑based approaches to technological transformation
  • Large‑scale data analysis and econometric methods
  • Large language models for social science research
  • Policy‑relevant economic research
• Technical skills including 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.
• Strong interest in ensuring AI development benefits humanity.
• Comfort working with AI systems and ability to think critically about their capabilities and limitations.

For this role we are looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable at the intersection of empirical economics, technological change, and policy impact.

Annual Salary: $295,000 – $345,000 USD. Total compensation includes equity benefits and may include incentive compensation.

We are primarily hiring in San Francisco, but may consider candidates based in London. All staff are expected to be in an office at least 25% of the time, with some roles requiring more time on site.

We encourage you to apply even if you do not believe you meet every single qualification. Not strong candidates will meet every qualification listed. We value diverse perspectives and aim to include a range of voices on our team.