• Implement, execute, and maintain preventive, detective, and monitoring controls across key business and operational processes.
• Write SQL to query production and analytical data sources to test controls, pull audit evidence, and investigate exceptions across large datasets.
• Build and maintain Python scripts and automated routines that test controls on a recurring basis, flag exceptions, and generate reproducible results.
• Design and build control-monitoring dashboards and KPI reporting (e.g. Tableau) so control health and risk indicators are visible to stakeholders.
• Translate control designs and process requirements into concrete, automated checks and validation logic.
• Validate that controls are operating as intended: define test cases, run them against real data, quantify exceptions, and document results.
• Analyze workflows and data to identify control gaps, failure points, manual dependencies, and areas of elevated operational risk.
• Partner with Risk, Product, Operations, Finance, Compliance, Technology, and Data teams to embed automated controls into system workflows and daily operations.
• Maintain clear documentation of control logic, test procedures, data sources, and results to support internal and external review.
• Track control exceptions and issues through to remediation, and re-test to confirm closure.
• Apply a solid understanding of risk and control principles (including COSO-based thinking) to ensure the controls you build are meaningful and auditable.
• Operate with high ownership in an environment that is still building process discipline and tooling maturity.