This scientific article investigates financial mechanisms aimed at minimizing labor market risks. Special attention is paid to the role of predictive analytics and data integration as key tools for identifying, assessing, and preventing potential threats and risks such as structural unemployment, skilled labor shortages and supply-demand imbalances. The article substantiates how the application of these approaches allows not only for effective risk management but also significant optimization of public expenditures, shifting from reactive measures to proactive strategic planning. The approaches and mechanisms proposed in the article can serve as a basis for developing more flexible and targeted public employment support programs, increasing the transparency and targeting of budget expenditures, and for forming a sustainable and adaptive labor market policy.
