The massive growth of the financial market creates challenges to the portfolio risk measurement and investment decisions. Professor WONG and Professor SIT’s research on statistical learning and big data methods has delivered considerable economic impacts on financial technology. Several key statistical learning methodologies were implemented in the development of algorithmic trading and risk management platform, which help the integration of estimation and optimization procedures together. The platform has been adopted by an international asset management firm to construct portfolio selection strategies and calculate risk in the mutual fund; it has also helped enhanced investment performance (e.g. projected annualised return of a fund increased by 12.6%) and given effective stop-loss signals to the corporation. WONG and SIT would like to make their risk calculation framework a public good after gaining practical experience from the fund. A simplified version of the risk calculator for some selected popular derivatives was launched as an online open-access educational platform developed by the Department of Statistics, CUHK, for practitioners and public to understand and appreciate statistical learning theory for portfolio risk management. This platform, revealing their research in portfolio risk measurement, has aroused public awareness about the investment of financial derivatives.