What are the responsibilities and job description for the SAR Control Lead, 35791721 position at Cypress HCM?
Job Description
Job Description
SAR Control Lead
Description :
The Suspicious Activity Reporting (“SAR”) Control function plays a critical role in the Transaction Monitoring and Investigative Reporting (“TMIR”) team within Payments AML-CFT Compliance program.
The role involves quality control of the SAR program in addition to management reporting on SAR trends, risks and issues globally. This individual will need to have an understanding of transaction monitoring model (“Model”). This role will collaborate with internal Payments teams including Compliance, Risk, and Product to design and maintain controls relating to the filing of suspicious activity reports.
Duties :
Evolve the transaction monitoring, case management and SAR filing system
Includes case information system development, Model evolution and e-filing processes
E2E Mapping of the Model features and related detection and risk mitigation controls that may exist outside of Payments
Drive streamlined adjustments to Model features that represents a risk based approach, limits false positives to appropriate levels and improves the detection of suspicious activities representative of the merchant nature of the business.
SAR Investigation Due Diligence Procedures (E2E)
Advanced investigations training
Management reporting on SAR trends, risks and issues
SAR Filing Processes and Procedures
Improve Operational Quality Control Layers
Quality assurance (QA) at 95% confidence level
Make QA More Impactful
SAR control sample
Review of Significant Cases
SAR Control Program
TMIR Lead
Significant SAR Review Committee
Committee and stakeholder engagement (including Money Laundering Reporting Officers, Program Leads, and Chief Compliance Officer )
Chaired By Lead - SAR Control
Review of General SAR Metrics (production and risk based metrics)
Sample of Significant SAR Briefings from Investigators to Committee across all Payments entities
Requirements :
Strong analytical skills to identify complex patterns and potential red flags within financial data.
Understanding of Anti-Money Laundering / Banking Secrecy Act regulations and compliance requirements
Familiarity with financial systems and transaction processing
Familiarity with Machine Learning, Artificial Intelligence and Rules Based Systems for Suspicious Activity detection
Excellent attention to detail and ability to accurately document information
Effective communication and collaboration skills to interact with various internal stakeholders
Investigative skills to gather and analyze relevant information
Self starter with the ability to problem solve, network and work their way to solving a problem
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