About this role
As a Data Scientist in the Model Risk Office, you will identify and quantify risks associated with models, build machine learning models to challenge deployed champion models, and contribute to model governance. You will leverage frameworks and tools (PyTorch, Hugging Face, LangChain, vector databases, LLMOps and observability platforms) to analyze large volumes of multi-modal data and validate models across business domains, communicating identified model risks to executives.
Skills for this role
PyTorchHugging FaceLangChainVector DatabasesLLMOpsObservability platformsMulti-modal dataMachine LearningModel ValidationModel GovernanceStatisticsSoftware EngineeringProduct ManagementAWSPythonScalaRClusteringClassificationSentiment AnalysisTime SeriesDeep LearningBacktestingConfusion Matrix interpretationROC Curve interpretationBig DataData RetrievalData AnalysisPresenting to executives