VP, AFC Modeling (Americas)

Full Time




The purpose of the Anti-Financial Crime (AFC) Modeling team is to ensure that there is appropriate AML or other Anti-financial crime coverage by leading development of new models and improving existing models to mitigate existing or future Money Laundering or Financial Crime risks. As part of the team, your main focus will be to develop models to mitigate financial crime and Money Laundering risk, as well as to tune and optimize the models.

Job Responsibilities:

  • End-to-end implementation of AFC models, including hands-on development and programming
  • Build and maintain an inventory of quantitative and qualitative models for AFC
  • Address and resolve logic and configuration issues in Monitoring scenarios by conducting tuning & optimization exercise
  • Review and address open AML transaction monitoring findings from Model Validation, Audit and other independent bodies in a timely fashion
  • Perform ‘deep dives’ to interpret data quality issues, identify remediation and track to resolution
  • Work independently with team lead(s), and senior management and provide guidance and coaching to junior team members

Job Requirements:

  • Minimum of a Bachelor’s degree or equivalent work experience with professional experience
  • Extensive direct knowledge of AML transaction monitoring systems, preferably Mantas and Actimize, experience with AML transaction monitoring data and data analysis
  • Demonstrated experience with Oracle, SQL, Sharepoint, Jira and hands-on data science experience
  • Experience with Big data analytics and Business Intelligence and industry standard tools integrated with Hadoop ecosystems e.g. R, Python
  • Experience in Database concepts and in Machine Learning, Robotic Process Automation and data science as well as knowledge of Java or other OOP is a plus

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