A large investment bank in Manhattan is hiring a unique VP of Model Risk Management: this position stands apart from other model validation positions, in that they are looking for an individual that has prior experience working in data science and machine learning.
This VP will report directly to the Director of Model Risk Management. The main responsibilities in this position include independent validation on compliance and risk models: you must be comfortable in reviewing the data reconciliations, conducting sensitivity analyses, investigating deviations and comparing actual outcomes to model outputs.
The most successful candidate will have 5+ years of hands-on experience in testing and/or validating BSA/AML models and credit/debit card fraud models, as well as a proven track record of strong quantitative skills. Working knowledge of linear regressions, big data, and machine learning systems is crucial, as well as being proficient in SAS, Matlab, R, Python, SQL, and/or VBA. An advanced degree in Quantitative Finance, Financial Engineering, Mathematics, or other related fields is a must; a PhD would be an advantage.
For more information, please contact Michellie at 646 766 1203.