Optimization model for human resource allocation in the front office of banks

Human resource allocation plays a pivotal role in enabling banks to adapt swiftly to financial market fluctuations and enhance operational efficacy. Addressing this challenge necessitates a comprehensive approach that accounts for various factors. To ensure optimal use of human resources, our research delves into essential considerations like position headcount, staff availability, employee competencies, and proficiency levels. Our objective is to formulate an integer optimization model, which strategically allocates personnel to distinct roles. Leveraging advanced optimization solvers, we solve this model to identify the most efficient staffing configurations. To validate our approach, we conducted a case study focusing on the front office of the Agricultural Bank of China. The results demonstrate the model's effectiveness in enhancing human resource allocation, ultimately contributing to the bank's operational efficiency and adaptability to market dynamics.