About this role
Plan and direct data science and machine learning projects and design and implement models for financial applications such as transaction classification, temporal analysis, and risk modeling. Measure, validate, deploy, monitor, and improve model performance while leveraging best practices in machine learning and data engineering and communicating findings to business leaders and clients.
Skills for this role
Machine LearningTransaction ClassificationTemporal AnalysisRisk ModelingCredit Risk ModelingStructured DataUnstructured DataNatural Language Processing (NLP)Statistical ModelingData VisualizationSQLDatabasesKubernetesContainersDockerREST APIsEvent StreamsTensorFlowPythonscikit-learnpandasModel DeploymentFeature EngineeringData EngineeringEntity ResolutionAnnotation (text analysis)