Economic Policy Analyst (100% Remote)

We’re hiring an Economic Policy Analyst to shape stablecoin regulation through data. This rare opportunity allows you to work at the intersection of blockchain, data science, and economic regulation.

In this role you’ll combine deep knowledge of stablecoin policy with unparalleled access to data to partner with our Regulatory Affairs and Licensing team in shaping global regulation. You will produce original economic analysis, synthesize emerging research, and translate complex data into clear arguments for regulators and policymakers.

You will work within a small, innovative data science team, tackling new and complex policy issues with agility, curiosity, and a willingness to stretch yourself.

• Original analysis: leverage data to answer questions such as the macroeconomic impact of stablecoins within countries, the performance of stability mechanisms, or the role of self‑hosted wallets in the ecosystem.
• Emerging research: monitor and synthesize output from institutions such as the IMF, BIS, and FSB to anticipate and respond to emerging policy concerns.
• Stakeholder communication: produce briefs, submissions, and presentations that bring data and economic evidence into global stablecoin regulation.

• Creativity – develop novel, rigorous methods that bring numbers to hard‑to‑quantify issues, leading to analysis that shifts policy debates.
• Communication – present findings so stakeholders easily understand them and influence policy development.
• Growth – build frameworks, prioritise ruthlessly, and develop a body of work that compounds over time.

• Deep experience in economic policy analysis and econometric techniques for policy evaluation.
• Knowledge of regulatory issues in the stablecoin and digital asset industry.
• Expertise in quantitative analysis using SQL, R, or Python.
• Proven ability to author policy briefs, public submissions, and presentations for internal and external stakeholders.
• Proven ability to work independently and communicate effectively in a remote environment.

• A PhD or Master’s degree in Economics or a related field.
• Experience in statistical analysis of macroeconomic and financial data.
• An existing network within regulatory bodies or central banks.