Quantitative Risk Management is a field that uses mathematical and statistical methods to assess and manage financial risks. It involves analyzing data to identify potential risks and their impacts on investments, portfolios, or organizations. By employing models and algorithms, professionals can predict the likelihood of adverse events and make informed decisions to mitigate those risks. This discipline often relies on tools such as Value at Risk (VaR) and Monte Carlo simulations to quantify risk levels. It is widely used in industries like banking, insurance, and investment management to ensure that risks are understood and managed effectively, ultimately protecting assets and enhancing financial stability.