+ Develop and validate credit risk models
+ Enhance the usage of Artificial Intelligence / ML and transform into more efficient solutions.
+ Using GCP, SAS, R, Python, for model building and model validation
+ Continual enhancement of statistical techniques and their applications in solving business objectives
+ Compile and analyze the results from modeling output and translate into actionable insights
+ Prepare PowerPoint presentations and document preparation for the entire credit risk modeling process

+ Collaborate, Support, Advise and Guide in development of the models
+ Acquire and share deep knowledge of data utilized by the team and its business partners
+ Participate in global conference calls and meetings as needed and manage multiple customer interfaces
+ Execute analytics special studies and ad hoc analyses
+ Evaluate new tools and technologies to improve analytical processes
+ Set own priorities and timelines to accomplish projects (ac...