SVP - Credit Risk Modeling + Machine Learning - Credit Cards Domain

Looking for people with 15-19 years of experience, an expert on Credit Risk Model Development, Predictive Model development and has proven expertise in Machine Learning, Big Data and some experience in Credit Card domain.

Education:

- Masters or Doctoral degree with a specialization in Statistics, Mathematics, or other quantitative

Responsibilities:

- Development, maintenance, validation, and management of credit scoring/non-scoring (credit strategies) models used across all Retail Services portfolios across the account lifecycle

- Interact, communicate effectively and build strong working relationship on an ongoing basis with business partners

- The incumbent will develop and nurture a strong team to support the above requirements, and lead the team to deliver exceptional results

Required Skills:

- Proven experience in Data Science. Knowledge and expertise to coach and guide team to deliver innovative modeling techniques and data strategies to enable best in class risk management. Expertise in developing and managing scoring and non-scoring models to solve day to day problems for the team

- Good programming skills in advanced SAS and SQL in mainframe, UNIX and PC environments

- Credit card industry experience especially in an analytics or policy role is preferred

- Programming skills in R, Python