--Use web scraping techniques, APIs and quantitative models to extract, clean and analyze financial metadata and time series data across multiple asset classes. --Apply AI and quantitative finance models to research, develop and implement risk management signals and algorithmic investment strategies --Identify, implement and test early warning signals and volatility indicators, with a focus on Equities, Cryptocurrencies and NFTs --Perform back-testing and financial simulations, and create a set of functions in Github with documentation and examples --Automate code for paper trading and implement dashboards to monitor strategies and input/modify parameters