[Hiring] Senior Economist @Windfall Trust

Role Description

As a Senior Economist, you will own Windfall's core research products and be the economic authority behind what we publish. We are interested in experts with an extensive background in labor economics, fiscal or welfare analyses, quantitative modeling, or development experience.

• Ownership of existing Policy Atlas, Preparedness Map, Scenarios Lab, or evaluating scenario modeling assumptions.
• Full arc responsibilities: methodological design, data and analysis, drafting, external review, and defending results.
• Make foundational choices about methods, data, and framing within Windfall's research infrastructure.
• Work directly with the CEO and Director of Research, alongside a small research team and external technical partners.
• Your work will engage with national governments and international institutions.

Qualifications

• Senior economist with experience in at least two of: labor economics, development economics, fiscal or welfare policy, and applied quantitative modeling.
• Comfortable being the most technical person in the room and accountable during external reviews.
• Ability to explain methodologies, their assumptions, and limitations.
• Global perspective on AI and economics, considering both advanced economies and those with binding constraints.
• Pragmatic approach to data, capable of extracting defensible conclusions from imperfect inputs.
• Strong writing skills for communicating analysis to treasuries, central banks, and international institutions.
• Critical engagement with AI exposure and adoption literature.

Requirements

• An advanced degree in economics or a closely related field, plus 8+ years of applied economic research or policy analysis; a PhD is valuable but can be substituted by an exceptional applied track record.
• Demonstrated senior-level work in at least two of: labor economics, development economics, public finance, or social protection and welfare policy.
• A publication or public-analysis record where your methodology survived external scrutiny.
• Experience working across countries at different income levels or within international institutions is a strong advantage.
• Familiarity with the AI-and-labor literature is a strong bonus but can be built quickly by the right candidate.
• Experience presenting technical work to senior non-technical audiences.
• Comfort working in a fast-moving, remote, international team, with self-direction and willingness to travel internationally.

Process

• Application review on a rolling basis, prioritizing applications submitted before August 15th.
• Screening interview (20 minutes).
• Live exercise interview (approximately 45 minutes) with a prompt covering a real research problem.
• Final interview (approximately 45 minutes).
• Reference check.
• Starting date to be determined with the successful applicant.