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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

mathematical modelingstatistical modelingdata analysisvaluation modelsgovernance frameworksquantitative methodsfinancial modelsstatistical methodsPythonExcel

Soft Skills

written communicationverbal communicationdata-driven explanationself-startercollaborationanalytical thinkingproblem-solvingattention to detailadaptabilityresearch skills