Job responsibilities include mathematical modeling of token economy models, including token release curves, inflation control, and optimization of pledge returns. According to the established requirements, apply game theory, Markov process, Monte Carlo simulation, and ARIMA time series prediction methods to optimize the ZK economic model. Assist in backtesting and optimizing the economic strategy of CeFi+ZK integration to ensure the sustainable operation of the economic model. Process key data such as token circulation, trading volume, pledge status, and income status, and conduct trend analysis. Calculate pledge incentives, destruction strategies, ZK proof generation costs, and propose optimization suggestions. Use Python/R/SQL for data modeling and generate data visualization charts (Matplotlib, Plotly, D3. js, etc.).