Job Description
This role involves designing and optimizing token economy models through advanced mathematical modeling techniques. You will be responsible for developing sustainable economic strategies for blockchain ecosystems, with a focus on ZK-based solutions.
Key Responsibilities
- Develop mathematical models for token economy systems including token release curves, inflation control mechanisms, and pledge return optimization
- Apply game theory, Markov processes, Monte Carlo simulations, and ARIMA time series prediction methods to optimize ZK economic models
- Conduct backtesting and optimization of economic strategies for CeFi+ZK integration to ensure model sustainability
- Analyze key metrics including token circulation, trading volume, pledge status, and income status through trend analysis
- Calculate and optimize pledge incentives, destruction strategies, and ZK proof generation costs
- Develop data models using Python/R/SQL and create data visualizations with tools like Matplotlib, Plotly, and D3.js
Technical Requirements
- Strong background in mathematical modeling and quantitative analysis
- Proficiency in game theory, stochastic processes, and time series analysis
- Experience with blockchain economics and tokenomics design
- Advanced programming skills in Python/R for data analysis and modeling
- Expertise in SQL for data processing and analysis
- Experience with data visualization libraries (Matplotlib, Plotly, D3.js)
- Understanding of ZK-proof systems and their economic implications
Preferred Qualifications
- Experience in designing economic models for blockchain protocols
- Knowledge of decentralized finance (DeFi) and centralized finance (CeFi) integration
- Background in cryptography or zero-knowledge proof systems
- Published research in economics, game theory, or blockchain technology
