• Develop and validate credit risk models 

• Using 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 (accountability for project deliverables