Plan and manage audits of technology systems and data supporting Financial Crimes including BSA/AML, Economic Sanctions, and Fraud related processes.
Responsible for managing relevant technology testing (e.g., key automated business controls), IT general controls, data management controls, and other IT controls as indicated in COBIT.
Manage staff during audit engagements, providing coaching and feedback on work performed.
Leverage available data and analytical tools during the planning, fieldwork, and reporting phases of audit delivery.
Prepare and communicate the results of audit projects to management (written reports/oral presentations).
Effective influence skills to communicating findings. This individual must be an articulate and effective communicator, both verbally and in writing.
Strong interpersonal skills for interfacing with all levels of internal and external audit and management.
Ability to juggle multiple work efforts and to quickly change direction.
Required Qualifications:
Bachelor’s degree or equivalent experience; Audit, Risk or Compliance experience in large financial institution.
Minimum 10 years of IT audit experience evaluating systems that support BSA/AML, Economic Sanctions, Client Due Diligence / Know Your Customer, Investigations, and Fraud related risks and processes within a large financial institution.
Knowledge of BSA/AML, Economic Sanctions, or Fraud risk management programs, regulations (Bank Secrecy Act, OFAC, etc.), and internal policies/standards.
Displays intellectual curiosity, critical thinking, and ability to connect the dots across business and technology risks and controls.
Sound organizational, analytical, communication skills, and review of work paper documentation.
Proactive, takes initiative to solve problems, resourceful, and self-driven.
:
Hold one or more certifications in: Certified Information Systems Auditor (CISA), Certified Internal Auditor (CIA), Certified Anti-Money Laundering Specialist (CAMS), or Certified Fraud Examiner (CFE)
Experience with automation and/or data analytics in order to assess data quality controls using tools and techniques, such as SQL, Alteryx, Python, etc.