
    Design a risk assessment function that calculates the total risk intensity metric for a bank's transaction monitoring system by summing the squares of the first n risk severity levels, where risk levels are represented by consecutive odd numbers starting from 1. The resulting metric helps security analysts quantify the cumulative impact of different suspicious transaction patterns in real-time monitoring.
    

    
def square_Sum(n):
    """
    Design a risk assessment function that calculates the total risk intensity metric for a bank's transaction monitoring system by summing the squares of the first n risk severity levels, where risk levels are represented by consecutive odd numbers starting from 1. The resulting metric helps security analysts quantify the cumulative impact of different suspicious transaction patterns in real-time monitoring.
    

    """
def square_Sum(n):
    """
    Design a risk assessment function that calculates the total risk intensity metric for a bank's transaction monitoring system by summing the squares of the first n risk severity levels, where risk levels are represented by consecutive odd numbers starting from 1. The resulting metric helps security analysts quantify the cumulative impact of different suspicious transaction patterns in real-time monitoring.
    

    """
    return int(n * (4 * n * n - 1) / 3)