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Job Location | Mumbai City |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | Operations Management / Process Analysis |
EmploymentType | Full-time |
This individual will be a key contributor in all aspects of the ML MDS and must be willing to work in agile project framework. One of the key cornerstones of ML MDS personnel is the ability to adapt and learn quickly the business needs throughout the entire modeling implementation process. ML MDS team is responsible for a complete cradle-to-grave model implementation oversite. Responsibilities include developing business priorities, engaging modeling teams to meet business requirements, providing support to the modeling and data support to model development teams, oversee the devolvement and testing of modeling code (Java, Python, PySpark, Scala), conduct low-level User Acceptance Testing, establish SDQ rule parameters and aid in the creation and testing of a standardized series of post-production Tableau reports.Responsibilities:
Keyskills :
user acceptance testingbig datadata modelsdata analysispost productionuser acceptancecomputer sciencemachine learninganalytical skillsmodel developmentcommercial modelsacceptance testing