• Develop, implement, manage, and deploy in-depth analyses that meet the information needs related to payment accuracy, anomaly detection, and Fraud, Waste, and Abuse (FWA). • Build concepts as algorithms that identify claims for pre- or post-pay intervention based on probability of fraud, waste, and abuse. • Analyze and quantify claim payment issues and provide recommendations to mitigate identified program integrity risks. • Conduct outcome analyses to determine impact and effectiveness of corporate program and payment integrity initiatives. • Collaborate on the examination and explanation of complex data relationships to answer questions related to payment accuracy, anomaly detection, and FWA. • Monitor and provide explanation of anomalies related to trends associated with potential Fraud Waste and Abuse across the corporate enterprise. • Collaborate with Legal Department, generating data and analyses to support Legal proceedings. • Develop hypothesis tests and extrapolations on statistically valid samples to establish outlier behavior patterns and potential recoupment. • Create, maintain, and communicate an analytical plan for each project. • Mine and analyze large structured and unstructured datasets. • Employ a wide range of data sources to develop algorithms for predicting risk and understanding drivers, detecting outliers, etc. • Develop visualizations that demonstrate the efficacy of developed algorithms. • Provide statistical validation and analysis of outcomes associated with clinical programs and interventions. • Collaborate with other teams to integrate with existing solutions. • Communicate results and ideas to key stakeholders. • Prepare code for operationalization of end-to-end model pipeline and deliverable for business consumption.