Abstract: System and methods for risk and risk precursor identification in commercial aviation operations according to various aspects of the present invention operate in conjunction with a source of operation flight track data, a set of risk determination models containing instructions on how to process a set of received operational flight track data, a risk determination API for activating one or more risk models to process the set of received operational flight track data, and a user interface for communicating with the risk determination API. Each risk model may be trained to analyze flight track data to identify a particular type of risk precursor or identify a type of risk and any precursors that led to the risk. Processed results and identified risk precursors are forwarded to the user interface and displayed to allow users to quickly distinguish between nominal conditions for an aircraft and conditions with elevated levels of risk.