CCB Risk Model Delivery Sr Associate

Description

This individual will be a key contributor in all aspects of the MDAS(Model Delivery as a Service) and must be willing to work in agile project framework. One of the key cornerstones of MDAS personnel is the ability to adapt and quickly learn the business needs throughout the entire modeling implementation process. The incumbent would lead all quality assurance and testing effort that the team works on and must be able to provide guidance to junior team members. The incumbent must ensure that the documentation and archiving of all relevant artifacts of the validation done is maintained in an orderly manner for audit purpose.

Responsibilities :

• Import clean transform and validate data from multiple sources and systems (Teradata Oracle Cloud DB) 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 Cloud Platform using Python / PySpark or JAVA / Scala.
• Oversee and validate production processes as they are being developed and implemented.

Qualifications

Must be proactive results driven and have a proven track record of execution

Required Experience :

Senior IC

Key Skills

Python,C / C++,Fortran,R,Data Mining,Matlab,Data Modeling,Laboratory Techniques,MongoDB,SAS,Systems Analysis,Dancing

Employment Type : Full-Time

Experience : years

Vacancy : 1