AML Transaction Monitoring SME / Data Lead

Full Time

International Bank

Office Status: Hybrid

Your Key Responsibilities:

  • Work with line of business first line of defense (1LOD) to understand the products being offered and define specifications/red flags for transaction monitoring models
  • Address and resolve logic and configuration issues in monitoring scenarios by conducting tuning & optimization exercises; perform ‘deep dives’ to interpret data quality issues, identify remediation, and track to resolution
  • Review and address open AML team manager findings from model validation, audit and other independent bodies in a timely fashion
  • Work in partnership with AFC stakeholders to develop and drive initiatives that transform and modernize the capabilities and services of monitoring within the AFC function
  • Support implementation of sustainable data controls (SDC’s) and conduct validation/testing prior to rollout
  • Represent the group in various data governance forums, and clearly communicate data related issues and potential resolution paths

Your Skills and Experience:

  • Bachelor’s/Master’s degree in mathematics, economics, computer science, data science, mis, information management, or statistics preferred
  • Extensive experience in financial crime space with expertise in AML transaction monitoring and AML transaction monitoring systems, preferably Mantas or Actimize; extensive experience with AML transaction monitoring data and data analysis
  • SME in financial crime compliance covering multiple product lines such as correspondent banking, wealth management, brokerage, trade and asset management; prior experience/interaction with monitors, audit, and regulators will be viewed positively
  • Knowledge and understanding of financial crime and AML policies, procedures and control arrangements in a complex financial organization; strong understanding of AML red flags, typologies and transaction monitoring data for various lines of businesses
  • Strong experience in analyzing data from multiple sources, including hands-on experience with data quality and remediation tasks; demonstrated experience with Oracle, SQL, SharePoint & Jira
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