
Crypto Economics Researcher
Posted Jul 19

Posted Jul 19
This is a fully remote position, open to applicants anywhere in the world.
• Perform comprehensive theoretical and empirical research on blockchain ecosystems, market dynamics, incentives, and network sustainability.
• Assist in the design, evaluation, and enhancement of protocols based on research findings.
• Develop models, datasets, and analytical frameworks to assess strategic and economic trade-offs.
• Examine on-chain, market, and ecosystem data to produce actionable insights.
• Convert complex research findings into straightforward recommendations, actions, and knowledge resources.
• Keep abreast of the latest developments in cryptoasset research.
• A quantitative background in fields such as economics, finance, mathematics, statistics, computer science, data science, or other related disciplines.
• Strong empirical research and modeling capabilities, including but not limited to structural estimation, causal inference, time-series analysis, machine learning, asset pricing models, simulation methods, mechanism design, market microstructure, and game theory.
• Over 3 years of experience in applied economics, quantitative research, data science, or a similar analytical position.
• Experience in developing data-driven research products, analytical frameworks, models, and tools that guide strategy, investment, product, or policy decisions.
• Proficiency and demonstrable experience with Python and SQL.
• Familiarity with crypto, blockchain ecosystems, DeFi, tokenomics, staking, or digital asset markets is preferred.
• Exceptional written communication skills and analytical judgment. (We value rigorous thinking, but also emphasize producing work that facilitates real decision-making.)
• Comfort with managing and resolving ambiguous, open-ended problems from start to finish.
• Full autonomy—real ownership of your work, not just a ticket queue.
• Small team, high impact. What you build directly shapes ecosystem strategy.
• Remote-first, async-friendly culture.
• AI-forward engineering culture—we actively use and invest in AI tooling to ship faster.
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