AP Quality Control Business Analyst I, Accounts Payable Quality Control

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Skills you'll use

What you'll do

• Data Analytics & AI-Powered Risk mitigation automations
• Develop moderately to highly complex data processing jobs using SQL, Python, and other technologies
• Leverage artificial intelligence and machine learning algorithms for predictive analytics, anomaly detection, and pattern recognition in quality control data
• Apply AI-driven text mining and data analytics to identify critical business insights and optimize operational efforts
• Build statistically robust forecasting models using AI/ML techniques for operational effort drivers and related metrics
• Build Risk identification, monitoring and automated mitigation actions using internal AI tools/MCP.
• Develop end-to-end AI solutions — data ingestion → model training → testing → deployment → monitoring
• Collaborating with Product, Software Engineers and Data Engineers to integrate AI outputs into automated workflows
• Quality Control & Governance
• Build accurate dashboards to track operational metrics including KPIs, process/channel/team specific goals for collections quality

Who can apply

• Advanced SQL and Python programming
• AWS cloud services (Lambda, Glue, Redshift, S3, SageMaker, EventBridge, Step Function)
• AI/ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch, etc.)
• Data visualization tools (QuickSight, Tableau, Power BI)
• Statistical analysis and predictive modeling
• ETL processes and data pipeline development

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