Model Risk Management Compliance Associate (028)


The ideal candidate will preform independent validation on Compliance models, including BSA, AML and Fraud Models. This individual will need to have experience with model validation, analysis and review of transaction monitoring and sanction screening systems. The model validation process includes, reporting, outcome analysis, model governance and conceptual soundness.  The candidate should have knowledge of AML transaction monitoring and data inputs for quality and completeness.


  • 4-6 years hands-on experience on analyzing, testing and/or validating BSA/AML models, credit/debit card fraud models, and/or OFAC sanctions screening models.
  • Advanced degree in Quantitative Finance, Statistics, Financial Engineering, Physics or Mathematics.
  • Working knowledge of one or more of the following programming platforms: SAS, Matlab, R, Python, SQL and VBA.
  • Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to BSA/AML models.

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