Company Name:-
JPMorgan Chase Bank, N.A.

Job Location:-
Mumbai, Maharashtra

Job Summary:-
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:Import, clean, transform and validate data from multiple sources and systems (Teradata, Oracle, Hadoop,.etc.) in preparation for analytics and/or modeling

Have an understanding of Python, PySpark and Hadoop with a willingness to become an expert in Big Data and Machine Learning processes.

Leverage a variety of analytical and statistical applications (SAS, SQL, Python, PySpark, JAVA, Scala) to describe, analyze, and validate trends in large complex data sets.

Build and develop Proof-of-Concept machine learning outlier detection systems to run in Hadoop using Python/PySpark or JAVA/Scala.

Oversee and validate production processes as they are being developed and implemented.

Qualifications8+ years of experience doing hands-on data analysis
Technical expertise regarding data models, data analysis, and segmentation techniques
Experience with Business Intelligence and analytical tools such as Table

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