Predictive Analytics Consultant

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for leading the design and delivery of critical solutions like Automated Underwriting and Risk Scoring, and Portfolio Monitoring. The position will focus on building, testing, validating, and deploying predictive and optimization models that support credit underwriting decisions in AWS. The ideal candidate will possess deep expertise in AWS to own the end-to-end deployment and operationalization of machine learning models in production environments. You will architect and implement scalable ML infrastructure leveraging AWS SageMaker, Lambda, and Step Functions to automate model deployment, retraining, and inference pipelines. You will design and deploy comprehensive monitoring solutions using CloudWatch and custom metrics to track model performance, detect data drift, and identify outliers and anomalies in real-time. Your responsibilities include establishing MLOps best practices and building data quality systems, implement alert mechanisms for performance degradation, and ensure logging and tracing for explainability and compliance. You should be comfortable optimizing costs through resource management and scaling strategies while maintaining enterprise-level reliability, observability, and security. The ideal candidate will have proven experience deploying ML systems at scale, strong proficiency with AWS services, and a passion for transforming research models into production-grade systems. Responsibilities: - Lead the design, development, and deployment of predictive analytics solutions, including automated underwriting, risk scoring, portfolio monitoring, and decision optimization models. - Build, test, validate, and maintain predictive and machine learning models to support credit underwriting, risk management, and portfolio performance objectives. - Architect, deploy, and manage end-to-end MLOps pipelines in AWS using services such as SageMaker, Lambda, Step Functions,