Crypto Economics Researcher at Avalanche Foundation focusing on economic strategy, protocol design, and ecosystem growth. Conducting empirical research and providing actionable recommendations for blockchain ecosystems.
About the role
- Token Associate collaborating with web3 companies to design tokenomic frameworks for ecosystem growth. Producing reports and models while ensuring clients' long-term success through data analysis.
Responsibilities
- Collaborate with web3 companies to design and implement robust tokenomic frameworks that drive ecosystem growth and sustainability
- Produce comprehensive reports and whitepapers that articulate the core principles, strategies, and mechanisms of token economies
- Develop valuation models, governance frameworks, and other critical elements to ensure the long-term success of clients' projects
- Assist in ecosystem analyses by gathering and interpreting data, creating insightful reports using Python-based data analysis and visualization tools, focusing on key aspects of the ecosystem
- Support the development of litepapers to outline the essential principles of proposed cryptoeconomic frameworks, with an emphasis on quantitative insights wherever relevant
- Build and maintain Python-based valuation and statistical models to analyze tokenized systems, focusing on fundamental metrics
- Use frameworks (e.g., NumPy, Pandas, scikit-learn) to run basic simulations or stress tests under different scenarios
- Contribute to designing token economic systems by applying quantitative methods (e.g., mathematical modeling of incentive mechanisms, liquidity provisioning, emissions schedules), assisting senior team members in refining and testing these models
- Collaborate in developing governance frameworks, using data analysis to inform on-chain and off-chain governance structures, community involvement, and participation methods
- Assist in refining governance structures post-launch by analyzing key governance metrics, helping address questions and update project literature based on quantitative findings
- Support the development of whitepapers, iterating on the technical and data-driven sections to ensure they meet industry standards for public presentation
- Actively research emergent tokenomic models and apply statistical or Python-based analyses to identify new trends in the web3 space, sharing quantitative insights with the team
Requirements
- 1+ years of experience (or strong internship exposure) in mathematical or statistical modeling, ideally leveraging Python for data analysis and model-building
- Familiarity with Web3 concepts (tokens, blockchains, cryptocurrency) and a willingness to learn deeper aspects of smart contracts, DAOs, and on-chain mechanics
- Extensive experience with tokens, including creation, minting, yield farming, issuing, burning, and staking
- Strong understanding of financial models (NPV, discount rates, bonding curves) and fundamental statistical methods (regression, hypothesis testing), with a willingness to learn advanced approaches
- Clear, concise written and verbal communication skills, with the ability to explain data-driven findings to both technical and non-technical audiences
- Proficiency in Python (e.g., NumPy, Pandas, scikit-learn) and Excel; willingness to learn other data-analysis tools as needed
- Bachelor’s degree in mathematics, statistics, computer science, or another quantitative discipline, or equivalent practical experience
- A motivated and driven self-starter.
Benefits
- Comprehensive health, dental, and vision insurance
- Flexible working hours and remote work options
- Opportunities for professional growth and development
- Access to industry conferences and networking events
- Collaborative and innovative work environment
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