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Job Location | Mumbai City |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | General / Other Software,Sales / BD |
EmploymentType | Full-time |
- Own end-to-end risk model development efforts within Core Modeling using advanced statistical/mathematical techniques like regression, XG Boost, Nueral nets, SVM or other traditional modeling/ machne learning methods. - Lliasoning with risk development partners like MRGR, Fair Lending, Legal, Technology and LOB Business Stakeholders - Own quality of models developed, assuring accurate and appropriate model development standards, and right implementation of models. 6+ years statistical model development/ Machine learning model developmentexperience in a deeply quantitative role in the financial services industry or Fintechs dealing with advanced analytical or machine learning methods 6+ years SAS experience; well versed in SAS/Base, SAS/STAT, SAS/Macro, and data-mining procedures. SAS Certification preferred.- OR - 3+ years experience inPython, Spark, Hive, Scala, Big Data, Hadoop, Keras, Scikitlearn etc. Demonstrates leadership within the team in terms of attitude, initiative and inclusivity.,
Keyskills :
big datamachine learningmodel developmentcommercial modelsfinancial servicessassvmhiverisksparkscalaboosthadoop