Vice President, Quantitative Modeling Greater New York City, NY Area

The Company is seeking a Vice President for Quantitative Modeling with a focus on credit and operational risk. The successful candidate will be responsible for the end-to-end development, calibration, and documentation of credit risk models, including those for stress testing and capital planning. This role also involves the development of stress testing models for internal and regulatory scenarios, as well as the design of scenario-based modeling frameworks. The VP will participate in the development of credit risk grading and rating models, and will be involved in the maintenance of operational risk capital and CCAR models. Advanced statistical techniques, including machine learning and natural language processing, will be utilized to enhance model performance and scalability. Applicants must have a Master's degree in a quantitative field and at least 7 years' of experience. Required skills include proficiency in programming languages such as Python, SAS, or R, and experience with CCAR, CECL, and vendor data. The role demands a strong background in wholesale credit model development, particularly in commercial real estate and industrial sectors, as well as expertise in statistical and econometric modeling. The VP will be expected to mentor junior analysts, ensure compliance with governance standards, and collaborate with cross-functional teams to operationalize models. The position is pivotal in supporting the company's response to regulatory examinations and audits, and the ideal candidate will have a proven track record in this area.

Hiring Company

Sumitomo Mitsui Banking Corporation – SMBC Group