Location: Westerville, OH (Hybrid –3 days onsite)
Regulatory credit risk models (PD, LGD, EAD) using Python, Spark (Scala)
ML pipelines integrated with MLflow, CI/CD (Azure DevOps), and model governance frameworks.
Model Risk Governance (MRG).
Conduct model validation, robustness testing, scenario analysis
o Python (NumPy, pandas, scikit-learn, Pytorch/TensorFlow)
o Apache Spark (Scala) for distributed ML workloads
o Azure Kubernetes Services (AKS), Terraform, MLflow
AI/ML model
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