
Responsibilities:
- Supervise entry to mid-level roles in transactional or tactical less complex tasks and processes to ensure timely completion, quality and compliance
- Manage the implementation of procedures, controls, analytics and trend analysis to ensure identification, prevention execution, detection, investigation, recovery, government and internal reporting of financial crime activity
- Maintain awareness of financial crimes activity companywide and ensure all issues are proactively addressed, and escalated where necessary
- Ensure compliance with regulatory requirements such as Bank Secrecy Act, USA PATRIOT Act, and FATCA
- Identify opportunities for process improvement and risk control development in less complex functions
- Manage a risk-based financial crimes program or functional area with low to moderate risk and complexity
- Lead implementation of multiple complex initiatives with low to moderate risk
- Make supervisory and tactical decisions and resolve issues related to team supervision, work allocation and daily operations under direction of functional area management
- Leverage interpretation of policies, procedures, and compliance requirements
- Collaborate and consult with peers, colleagues and managers
- Ensure coordination with team, line of business, other business units, Audit, and regulators on risk-related topics
- Manage allocation of people and financial resources for Financial Crimes
- Mentor and guide talent development of direct reports and assist in hiring talent
Required Qualifications:
- 7 years of Leadership experience
Desired Qualifications:
- Experience with managing procedures and controls for teams that support data analytics, data platforms, and reporting
- Demonstrated experience working in Anti-Money Laundering (AML) programs and/or data platform management for large financial institutions
- Experience mentoring and guiding guide talent development of direct reports and assist in
hiring talent
- Hands on experience with handling BSA/AML/OFAC laws and regulations specific and financial crimes /regulatory/fraud specific data
- Knowledge of fin crime data quality activities and controls required for large financial institutions.
- Team handling experience for UAT/regression testing on data outputs involving complex data mapping designs
- Hands-on experience as a people manager leading a team of 15 + data analysts who are responsible for conducting data quality analysis to support financial crime data modelling
- Prior Experience enhancing AML Monitoring Models and Systems, including Oracle/Actimize using tools like Advanced SQL/SAS/Python
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