Risk management techniques are essential in financial mathematics, helping identify, assess, and prioritize risks to minimize negative impacts on organizations. These methods involve a systematic approach to managing uncertainty, using data-driven insights to make informed decisions and develop contingency plans. Key concepts include probability theory, Value at Risk (VaR), Monte Carlo simulation, and stress testing. Risk types encompass market, credit, operational, and liquidity risks. Measuring tools like sensitivity analysis and risk matrices help professionals quantify and visualize potential threats, enabling better decision-making and risk mitigation strategies.